Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards knowledge-customer centered services?

timely. Currently, the Australian Parliament House Standing Committee on Economics, Finance and Public Administration is conducting an inquiry in to the current and future directions of Australia’s service industries. A distinctive feature of economic change over the past two decades is the exponential growth in services. The Austrade submission to the House of Representatives inquiry suggests that services accounts for 77.9% of Australia’s Gross Domestic Product (GDP), 84.1% of employment, and 22.8% of exports (Austrade Submission, August 2006). The growth in services related activities are also significant growing around 3–4 % per annum in Australia (Austrade Submission, August 2006) and around 2–3% in New Zealand (New Zealand Treasury Economic and Financial Overview, 2002). Government interest in the impact of services on economy has been patchy. The dominance of agricultural and resource industries in Australia has generally shielded greater attention on the role of services in public policy debates. A significant exception was the establishment of the Service Industries Research Program in 1993 (Department of Industry, Technology and Regional Development and the Australian Coalition of Services Industries Inc) that produced a series of interesting commissioned research reports on different slices of the services sector. The literature on services is vast, and growing constantly in divergent directions. Definitional issues continue to dominate our theorizing of the nature and direction of change and a few trends become noticeable. Historically, and reflecting the strength of technological explanations, early writers such as Bright (1958) and Woodward (1965) saw the machine–product relationship and the characteristics of the overall production process as key elements in understanding technology and work. Emphasis was on the degree of variability of the production processes, plus the type of knowledge-base utilised, that defined different production contexts and characteristics. Industrial sociology was concerned with the impact of automation on working conditions and the working experience (Blauner, 1964) and speculation about future occupational directions (Bell, 1973; Gershuny and Miles, 1983). These early perspectives saw the impact of managerial strategy as benign. However, by the early 1970’s, new perspectives began to emerge. First, were the debates sparked by the publication of Braverman’s ‘Labour and Monopoly Capital’ in 1974 that heralded a major debate about long-term trends in work under capitalism, focusing on the role of scientific management in contributing to a deskilling ‘dynamic’ which redefined managerial control over the labour process (Littler, 1982; Edwards, 1979). From a different vantage point, Levitt (1976) also wrote about the nature of change and the industrialisation of services. Both saw technology as a key strategy for restructuring Copyright © eContent Management Pty Ltd. Journal of Management & Organization (2007) 13: 82–87.
OCPS: Offset Compensation based Packet Scheduling mechanism for multipath TCP

As terminals are equipped with multiple interfaces and allowed to access heterogeneous networks, transferring data simultaneously through all the available paths becomes possible and also brings many benefits. Multipath TCP (MPTCP) distributes an application stream over different TCP connections. Since different paths have disparate latencies, out-of-order packets problem occurs at receiver. Large number of these packets exhaust the limited receive buffer and make the receive window stall, which greatly degrade the throughput. Thus, a scheduling mechanism plays an important role to keep in-order delivery. Previous intelligent scheduling mechanisms schedule data independently each time and doesn't utilize the feedback carried in acknowledgements, which lose flexibility. Our Offset Compensation based Packet Scheduling (OCPS) mechanism gets feedback information from SACK options and gains the knowledge of whether last scheduling round still causes out-of-order problem. Then it modifies the scheduling next round accordingly by using an offset. The simulation results illustrate our mechanism enhance throughput and reduce cache occupancy at receiver.
Cost-Effectiveness Analysis of Trastuzumab in the Adjuvant Treatment for Early Breast Cancer

Background: Evidence from randomized controlled trials (RCTs) has shown a significant survival advantage of trastuzumab. Although extant work in developed countries examined economic evaluation of trastuzumab in adjuvant treatment for early breast cancer based on the 1-year treatment, there is uncertainty about cost-effectiveness of trastuzumab in the Adjuvant Treatment of early breast cancer in developing countries. This study aimed to estimate cost-effectiveness of adjuvant trastuzumab therapy compared to AC-T regimen in early breast cancer in Iran. Methods: A cost-effectiveness analysis was performed using a Markov model to estimate outcomes and costs over a 20-year time period using a cohort of women with HER2 positive early breast cancer, treated with or without 12 months trastuzumab adjuvant chemotherapy. Transition probabilities were derived mainly from the BCIRG006 trial. Costs were estimated from the perspective of the Iranian health care system. Both costs and outcomes were discounted by 3%. One-way sensitivity analysis was undertaken to assess the associated uncertainties in the expected output measures. Results: On the basis of BCIRG006 trial, our model showed that adjuvant trastuzumab treatment in early breast cancer, yield 0.87 quality-adjusted life-years (QALY) compared with AC-T regimen. Adjuvant trastuzumab treatment yielded an incremental cost-effectiveness ratio (ICER) of US$ 51302 per QALY. Conclusion: By using threshold of 3 times GDP per capita, as per World Health Organization (WHO) recommendation, 12 months trastuzumab adjuvant chemotherapy is not a cost-effective therapy for patients with HER2-positive breast cancer in Iran.
Modified Fast Bandwidth-Constrained Shortest Path Algorithm for MACO

Ant Colony Optimization is a probabilistic technique for finding the optimal path for reaching a destination using graphs. This algorithm was further developed to introduce the concept of Multiple Ant Colony Optimization technique in which ants were classified into various families that worked to provide optimal path solutions to the destination for their own family. This paper aims at proposing an algorithm for reducing the congestion in a network using a modified Fast Bandwidth-Constrained shortest path routing algorithm.
Epigenetics and Breast Cancers

Several of the active compounds in foods, poisons, drugs, and industrial chemicals may, by epigenetic mechanisms, increase or decrease the risk of breast cancers. Enzymes that are involved in DNA methylation and histone modifications have been shown to be altered in several types of breast and other cancers resulting in abnormal patterns of methylation and/or acetylation. Hypermethylation at the CpG islands found in estrogen response element (ERE) promoters occurs in conjunction with ligand-bonded alpha subunit estrogen receptor (Erα) dimers wherein the ligand ERα dimer complex acts as a transcription factor and binds to the ERE promoter. Ligands could be 17-β-estradiol (E2), phytoestrogens, heterocyclic amines, and many other identified food additives and heavy metals. The dimer recruits DNA methyltransferases which catalyze the transfer of methyl groups from S-adenosyl-L-methionine (SAM) to 5′-cytosine on CpG islands. Other enzymes are recruited to the region by ligand-ERα dimers which activate DNA demethylases to act simultaneously to increase gene expression of protooncogenes and growth-promoting genes. Ligand-ERα dimers also recruit histone acetyltransferase to the ERE promoter region. Histone demethylases such as JMJD2B and histone methyltransferases are enzymes which demethylate lysine residues on histones H3 and/or H4. This makes the chromatin accessible for transcription factors and enzymes.
An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance

This paper presents an innovative on-line approach for autonomous diagnostics and prognostics. It overcomes limitations of current diagnostics and prognostics technology by developing a "generic" framework that is relatively independent of the type of physical equipment under consideration. Proposed diagnostics and prognostics framework (DPF) is based on unsupervised learning methods (reducing the need for human intervention). The procedures used in DPF are designed to temporally evolve the critical parameters with monitoring experience for enhanced diagnostic/prognostic accuracy (a critical ability for mass deployment of the technology on a variety of equipment/ hardware without needing extensive initial tune-up). This framework is currently under deployment in a major automotive manufacturing plant in Michigan, USA. Results from this pilot program to date are very satisfactory.
In vitro glutathione conjugation of methyl iodide in rat, rabbit, and human blood and tissues

Methyl iodide (MeI) is an intermediate in the manufacture of some pesticides and pharmaceuticals, and is under review for US registration as a non-ozone depleting alternative for methyl bromide for pre-plant soil fumigation. MeI is primarily metabolized via conjugation with glutathione (GSH), with further metabolism to S-methyl cysteine and methanethiol. To facilitate extrapolations of animal pharmacokinetic data to humans, rate constants for the GSH metabolism of MeI were determined in cytosols prepared from the liver and kidneys of rats, human donors, female rabbits, and rabbit fetuses, from rabbit olfactory and respiratory epithelium, and from rabbit and rat blood using a headspace vial equilibration technique and two-compartment mathematical model. MeI was metabolized in liver and kidney from adults of all three species, but metabolism was not detectable in fetal rabbit kidney. Maximal metabolic rates (Vmax) were similar in liver from rat and human donors (~40 and 47 nmol/min/mg, respectively) whereas the Vmax rates in kidney cytosols varied approximately three-fold between the three species. No difference was observed in the loss of MeI from active and inactive whole blood from either rats or rabbits. The metabolism in olfactory and respiratory epithelial cytosol had Michaelis–Menten constant (Km) values that were several times higher than for any other tissue, suggesting essentially first-order metabolism in the nose. The metabolism of MeI in human liver cytosol prepared from five individual donors indicated two potential populations, one high affinity/low capacity and one with a lower affinity but higher capacity.
Lessons from filial piety: Do we need ‘memorial social work’ for the dead and their families?

Death is often a taboo topic and, consequently, there is a reluctance to address matters such as the cultural importance of after-life reputations and ancestor remembrance in the social work field. Reflecting on filial piety studies with Korean participants, this article aims to call attention to such death-related issues and their implications for end-of-life, palliative social work practice and research. The term ‘memorial social work’ is used to help practitioners broaden the scope and quality of social work associated with people who have died and their surviving families. The discussion in this paper includes issues related to filial piety and attitudes towards ageing parents, ancestor honour and remembrance and family continuity. The areas to which memorial social work are particularly pertinent are suggested for further development.
Black and White Do Not Make Grey: Narratives of Women’s Friendship Across a Racial Divide in Metro Detroit

Van’t Hof, Marcia (Ph. D., Communication) Black and White Do Not Make Grey: Narratives of Women’s Friendship Across a Racial Divide in Metro Detroit Doctoral dissertation directed by Professor Robert Craig Interracial friendship between African Americans and whites in metro Detroit requires bridgebuilding across a socially constructed divide. This ethnographically-inflected, interview-based case study of the narratives of three friendships between black and white women in metro Detroit analyzes the communicative co-construction of their relationships. Friendship narratives, which arose in three-person interaction (between the friendship dyad and researcher), serve as the primary data. Applications of the methods of analysis of William Labov et al. (1972, 1981; Labov & Fanshel, 1977; Labov & Waletzky, 1967) provide the primary analytic lenses. Conclusions demonstrate how interpersonal relationships may be performed in the setting of a specific social landscape. The narratives of the friends in this case study illustrate co-constructed practices of communication, such as perspective-taking, metadiscourse, successful conflict management, and humor–practices which may be conducive to the maintenance of friendship across socially constructed difference. The narratives also illustrate how participants and researcher may interactively co-construct identities (including racial identity and a friends-as-family identity) that seem to be especially salient to the success of interracial relationships. Finally, conclusions identify ways in which the narratives of the friends both conform to and resist the metanarrative of metro Detroit, which this study demonstrates is a story deeply embedded with racial hostility and a will to fight. In sum, this narrative inquiry explores the range of communication practices and rhetorical strategies that dyads of African American and European American friends may employ as they exert their agency to resist and transcend the dominant themes of the metanarrative of metro Detroit. Dedicated with love to Mark. Together we lived the reality that one relationship can change everything. Most of all, to Jesu, mein Freund.
What students learn from hands-on activities

The ability to design and interpret controlled experiments is an important scientific process skill and a common objective of science standards. Numerous intervention studies have investigated how the control-of-variables-strategy (CVS) can be introduced to students. However, a meta-analysis of 72 intervention studies found that the opportunity to train CVS skills with hands-on tasks (g = 0.59) did not lead to better acquisition of CVS relative to interventions without a hands-on component (g = 0.74). We conducted an intervention study in which we investigated the differential effects of hands-on and paper-and-pencil training tasks on 161 eighth-grade students’ achievement. CVS was demonstrated to all students before they were grouped into a hands-on or a paper-and-pencil training condition. In both training conditions, students designed and interpreted experiments about which variables influence the force of electromagnets. Students in the hands-on group interacted with physical equipment while students in the paper-and-pencil group planned experiments using sketches and interpreted the outcome of experiments presented in photographs. We found no general advantage or disadvantage of hands-on tasks, as both groups did equally well on CVS and content knowledge tests. However, hands-on students outperformed paper-and-pencil students on a hands-on test identical to the training tasks, whereas the paper-and-pencil students outperformed hands-on students on a science fair poster evaluation task similar to the paper-and-pencil training. In summary, students learned task-specific procedural knowledge, but they did not acquire a deeper conceptual understanding of CVS or the content domain as a function of type of training. Implications for instruction and assessment are discussed. © 2016 Wiley Periodicals, Inc. J Res Sci Teach 53:980–1002, 2016
An output feedback approach to robust dynamic average consensus

This paper presents the formulation and analysis of an output feedback dynamic average consensus algorithm, where each agent measures an output of a dynamical system subject to an unknown bounded disturbance. The objective is to estimate the average of the states of the dynamical systems based on the local measurements and local interactions between the agents. The proposed algorithm consists of an exponentially stable local observer and a robust dynamic average consensus estimator connected in a cascade fashion. Asymptotic stability of the combined system is theoretically proved and numerically illustrated. The proposed approach is robust to initialization errors and yields zero average-consensus error without assuming known reference signal dynamics or requiring access to the time derivatives of the reference signals. Moreover, the present model assumes heterogeneous local dynamical systems and local bounds on the unknown disturbance-term.
Synapsin I and Synaptophysin expression during ontogenesis of the mouse peripheral vestibular system

Synapsin I and Synaptophysin are selectively localized in axonal endings of CNS neurons where they are associated with small synaptic vesicle membranes. The development of expression of these 2 proteins was studied by immunocytochemistry during ontogenesis of the peripheral vestibular system in the mouse. Both proteins are localized in vestibular ganglion neurons and in their peripheral sensory extensions as early as gestational day 14. While the entire periphery of these fibers is labeled during embryogenesis, both proteins are subject to relocation during the postnatal maturation of these fibers. In the mature vestibular receptors they disappear from the fibers themselves but are found concentrated in their intraepithelial endings and in the neuronal cell body. These observations show that the distribution pattern of Synapsin I and Synaptophysin in peripheral extensions of vestibular afferent neurons during development is identical to that described in axonal processes of CNS neurons. This suggests that the peripheral processes of the vestibular afferent neurons present structural and biochemical characteristics of axons. These characteristics are consistent with a bimodal sensory and secretory function of mature endings.
What has more impact on relationship conflict : childhood maltreatment, psychopathy or emotional intelligence?

This study is the first to investigate the possible associations between four predictor variables: childhood maltreatment experiences, psychopathy, emotional intelligence (trait), emotional intelligence (ability), arid the outcome variable relationship conflict in a communitybased sample. In addition to exploring the associations between the predictor variables and the outcome variable, this study explored the associations between the predictor variables and proposed a model predicting relationship conflict on the basis of the predictor variables. Participants were 197 non-random community-based males and females contacted through network sampling and online advertisements. Participants completed an online survey comprised of the following instruments, which measured the predictive variables: The Childhood Maltreatment Interview Schedule — Short Form (CMIS-SF; Briere, 1992) measured self-reported childhood maltreatment experiences, two of which formed the childhood maltreatment experiences variable (i.e., physical abuse and sexual abuse); the Self-Report Psychopathy Scale III (SRP-III; Williams, Nathanson, & Paulhus, 2003) measured self-reported psychopathy; the Bar-On Emotional Quotient Inventory (EQ-i; Bar-On, 1997) measured self-reported abilitybased emotional intelligence; and twenty-eight streaming video clips, four for each of the seven universal emotional facial expressions (i.e., happy, sad, fear, surprise, anger, disgust, contempt) from the Micro Expression Training Tool (METT; Ekman, 2003-2006) used to measure ability based emotional intelligence. The total score of four subscales (e.g., psychological aggression, physical assault, sexual coercion, physical injury) from the Revised Conflict Tactics Scale (CTS2; Straus, Boney-McCoy, & Sugarman, 1996) comprised the outcome variable relationship conflict. Poisson regressions were completed and results indicated that psychopathy is the variable most predictive of relationship conflict in this sample. This is followed by childhood
In vivo analysis of the myosin heavy chain IIB promoter region

Swoap, Steven J. In vivo analysis of the myosin heavy chain IIB promoter region. Am. J. Physiol. 274 (Cell Physiol. 43): C681–C687, 1998. —The myosin heavy chain (MHC) IIB gene is preferentially expressed in fast-twitch muscles of the hindlimb, such as the tibialis anterior (TA). The molecular mechanism(s) for this preferential expression are unknown. The goals of the current study were 1) to determine whether the cloned region of the MHC IIB promoter contains the necessary cis-acting element(s) to drive fiber-type-specific expression of this gene in vivo, 2) to determine which region within the promoter is responsible for fiber-type-specific expression, and 3) to determine whether transcription off of the cloned region of the MHC IIB promoter accurately mimics endogenous gene expression in a muscle undergoing a fibertype transition. To accomplish these goals, a 2.6-kilobase fragment of the promoter-enhancer region of the MHC IIB gene was cloned upstream of the firefly luciferase reporter gene and coinjected with pRL-cytomegalovirus (CMV) (CMV promoter driving the renilla luciferase reporter) into the TA and the slow soleus muscle. Firefly luciferase activity relative to renilla luciferase activity within the TA was 35-fold greater than within the soleus. Deletional analysis demonstrated that only the proximal 295 base pairs (pGL3IIB0.3) were required to maintain this muscle-fiber-type specificity. Reporter gene expression of pGL3IIB0.3 construct was significantly upregulated twofold in unweighted soleus muscles compared with normal soleus muscles. Thus the region within the proximal 295 base pairs of the MHC IIB gene contains at least one element that can drive fiber-type-specific expression of a reporter gene.
Perceived sense of subjective well-being of highly successful online college educators: A generic qualitative study

Highly successful online educators are believed to have a perceived sense of subjective well-being in connection to the education they give to their students. The research question for this study was: what is the perceived subjective well-being for highly successful online educators? This generic qualitative research study used sampling that was purposive and a thematic probe of the data. The study included eight exceptional individuals who described their feelings of what it meant to be highly successful as online educators. A rich narrative of the experiences of the participants offers original insights that supplements a better understanding of how they associated with and taught learners. This research study acknowledged those experiences that are collective and exceptional among the participants. Conclusions from the analysis included online educators who are highly successful have a positive sense of subjective well-being in their jobs. There were four major themes found: satisfaction, creativity, motivation and appreciation. It is the goal of this research study that highly successful online educators will continue to engage and collaborate with their students and this provides the basis for both exceptional learning and teaching experiences alike.