Miracle-dz/UniFAR-FTUs huggingface dataset:
Just-inTime ( JIT ) Production in Service Operations-Document Automation : A Case Study Track : JIT Lean Production Sessions

The application of JIT (Just-In-Time) production system in service operations has attracted many research interests. This paper presents a case study about the application of JIT “document automation” in a specific service sector – the printing industry. The “document automation” process (also called “print-on-demand”), with the aid of new communication technology, starts from the customer-side and completes with the service delivery, including: project planning, cost estimation, job composition, graphic design, digital file conversion, disk creation, engineering drawing, publishing, hardcopy printing, binding, and lamination. This case study demonstrates that such a “document automation” can improve printing service operations significantly and represents the future for the printing service industry.
Non-Rigid Structure from Motion using non-Parametric Tracking and Non-Linear Optimization

In this paper we address the problem of estimating the 3D structure and motion of a deformable non-rigid object from a sequence of uncalibrated images. It has been recently shown that if the deformation is modelled as a linear combination of basis shapes both the motion and the 3D structure of the object may be recovered using an extension of Tomasi and Kanade's factorization algorithm for affine cameras. The main drawback of the existing methods is that the non-rigid factorization algorithm does not provide a correct estimate of the motion: the motion matrix has a repetitive structure which is not respected by the factorization algorithm. This also affects the estimation of the 3D shape. In this paper we present a non-linear optimization method which minimizes image reprojection error and imposes the correct structure onto the motion matrix by choosing an appropriate parameterization. In addition, we propose a novel non-rigid tracking algorithm based on the use of ranklets, a multiscale family of rank features. Finally, we show that improved motion and shape estimates are obtained on a real image sequence of a person's face which is moving and changing expression.
Assessment of Source and Type of Alcohol Consumed by High School Students: Analyses From Four States

Purpose:This study provides population-based estimates of the source and type of alcohol usually consumed by high school students in 4 states and assessed their relationship to drinking patterns. Methods:Pooled data were used from 4 states (Arkansas, Nebraska, New Mexico, and Wyoming) that included questions from the 2005 Youth Risk Behavior Survey for high school students (total N = 13,504). Logistic regression models were used to determine whether the drinking pattern for these students was independently associated with alcohol source or usual type of beverage. Results:Overall, 29.7% of high school students in these 4 states drank in a binge pattern, 13.2% were current drinkers who did not binge drink, and 57.1% were nondrinkers. Approximately one-third of the high school students who reported current alcohol use in these 4 states obtained their alcohol by giving money to someone else to purchase it. Liquor was the usual type of alcohol consumed by 38.7% of students who drank, followed by beer (21.3%), and malt beverages (21.1%). Youth who drank in a binge pattern were 3 times more likely to give someone money to buy alcohol for them and 2 times more likely to consume either liquor or beer as their usual alcoholic beverage compared with current drinkers who did not binge drink. Conclusions:These findings emphasize that when implementing evidence-based strategies to prevent underage drinking, such as enforcement of underage drinking laws and increasing alcohol excise taxes, attention should be paid to the source of and the usual type of alcohol consumed, and how these vary by drinking pattern.
Preparing health science students to be effective health care team members: the InterProfessional Initiative at the University of Alberta

The InterProfessional Initiative at the University of Alberta in Edmonton, Alberta, Canada, provides learning strategies to be effective health care team members for over 800 undergraduate students in 14 health professions. This paper traces the evolution of the initiative over the past decade and describes future directions. Particular attention is given to the administrative and academic structures and processes required to launch, develop and sustain an initiative of this scale in a major research-intensive university. The paper concludes by reviewing the evaluative work underway and reflecting on the key success factors.
Manipulating Mitotic Recombination in the Zebrafish Embryo Through RecQ Helicases

RecQ DNA helicases resolve Rad-51-mediated recombination and suppress aberrant homologous recombination. RecQ gene loss is associated with cancer susceptibility and increased mitotic recombination. We have developed an in vivo assay based on a zebrafish pigment mutant for suppression of RecQ activity, and demonstrate that zebrafish RecQ genes have conserved function in suppressing mitotic recombination.
Induction of anamnestic T cell proliferation by antigen‐pulsed, bone marrow‐derived macrophages

Bone marrow‐derived macrophages (BMMϕ) were grown in a liquid culture system in the presence of L cell‐conditioned medium as a source of colony‐stimulating factor. After a 4‐h pulse with antigen, cultured irradiated BMMϕ were capable of presenting the antigen to primed T cells as assessed in a T cell proliferation assay. Proliferation was optimal when BMMϕ were used between days 5 and 8 of bone marrow cell culture. T cells of Lytl and Lyt123 phenotype had to be present at the start of the culture period to yield an optimal response. Conventional antisera and monoclonal antibodies directed against the H‐2 I region and the I‐A subregion, respectively, proved inhibitory in this system. Cultured BMMϕ from low‐responder strains failed to present antigens under immune response gene control in a form that was immunogenic to T lymphocytes. Cultured BMMϕ might thus serve as a source of antigen‐presenting cells in the study of cell‐cell interaction and immune response gene regulatory mechanisms.
Overexpressed FATP1, ACSVL4/FATP4 and ACSL1 Increase the Cellular Fatty Acid Uptake of 3T3-L1 Adipocytes but Are Localized on Intracellular Membranes

Long chain acyl-CoA synthetases are essential enzymes of lipid metabolism, and have also been implicated in the cellular uptake of fatty acids. It is controversial if some or all of these enzymes have an additional function as fatty acid transporters at the plasma membrane. The most abundant acyl-CoA synthetases in adipocytes are FATP1, ACSVL4/FATP4 and ACSL1. Previous studies have suggested that they increase fatty acid uptake by direct transport across the plasma membrane. Here, we used a gain-of-function approach and established FATP1, ACSVL4/FATP4 and ACSL1 stably expressing 3T3-L1 adipocytes by retroviral transduction. All overexpressing cell lines showed increased acyl-CoA synthetase activity and fatty acid uptake. FATP1 and ACSVL4/FATP4 localized to the endoplasmic reticulum by confocal microscopy and subcellular fractionation whereas ACSL1 was found on mitochondria. Insulin increased fatty acid uptake but without changing the localization of FATP1 or ACSVL4/FATP4. We conclude that overexpressed acyl-CoA synthetases are able to facilitate fatty acid uptake in 3T3-L1 adipocytes. The intracellular localization of FATP1, ACSVL4/FATP4 and ACSL1 indicates that this is an indirect effect. We suggest that metabolic trapping is the mechanism behind the influence of acyl-CoA synthetases on cellular fatty acid uptake.
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity

This is the Lump team participation at SemEval 2017 Task 1 on Semantic Textual Similarity. Our supervised model relies on features which are multilingual or interlingual in nature. We include lexical similarities, cross-language explicit semantic analysis, internal representations of multilingual neural networks and interlingual word embeddings. Our representations allow to use large datasets in language pairs with many instances to better classify instances in smaller language pairs avoiding the necessity of translating into a single language. Hence we can deal with all the languages in the task: Arabic, English, Spanish, and Turkish.
A Timing Dependent Power Estimation Framework Considering Coupling

In this paper, we propose a timing dependent dynamic power estimation framework that considers the impact of coupling and glitches. We show that relative switching activities and times of coupled nets significantly affect dynamic power consumption, and neither should be ignored during power estimation. To capture the timing dependence, an approach to efficient representation and propagation of switching-window distributions through a circuit, considering coupling induced delay variations, is developed. Based on the propagated switching-window distributions, power consumption in charging or discharging coupling capacitances is calculated, and accounted for in the total power. Experimental results for the ISCAS'85 benchmarks demonstrate that ignoring the impact of timing dependent coupling on power can cause up to 59% error in coupling power estimation (up to 25% error in total power estimation)
Memory allocation constructs to complement NUMA memory management

Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large scale shared memory multiprocessors. However, one implication of the NUMA architecture is that locality of the data is crucial to performance. In the absence of any system support, the programmer is forced to explicitly manage these locality issues, significantly increasing the development time for parallel applications. The authors have enhanced the uniform system programming environment of BBN to allow a programmer to easily separate data structures based on expected reference patterns instead of requiring an understanding of the NUMA memory architecture as the basis for allocation decisions. An operating system providing dynamic page placement can exploit the more homogeneous allocation of data structures to virtual pages. <<ETX>>
White Lupin Cluster Root Acclimation to Phosphorus Deficiency and Root Hair Development Involve Unique Glycerophosphodiester Phosphodiesterases1[W][OA]

White lupin (Lupinus albus) is a legume that is very efficient in accessing unavailable phosphorus (Pi). It develops short, densely clustered tertiary lateral roots (cluster/proteoid roots) in response to Pi limitation. In this report, we characterize two glycerophosphodiester phosphodiesterase (GPX-PDE) genes (GPX-PDE1 and GPX-PDE2) from white lupin and propose a role for these two GPX-PDEs in root hair growth and development and in a Pi stress-induced phospholipid degradation pathway in cluster roots. Both GPX-PDE1 and GPX-PDE2 are highly expressed in Pi-deficient cluster roots, particularly in root hairs, epidermal cells, and vascular bundles. Expression of both genes is a function of both Pi availability and photosynthate. GPX-PDE1 Pi deficiency-induced expression is attenuated as photosynthate is deprived, while that of GPX-PDE2 is strikingly enhanced. Yeast complementation assays and in vitro enzyme assays revealed that GPX-PDE1 shows catalytic activity with glycerophosphocholine while GPX-PDE2 shows highest activity with glycerophosphoinositol. Cell-free protein extracts from Pi-deficient cluster roots display GPX-PDE enzyme activity for both glycerophosphocholine and glycerophosphoinositol. Knockdown of expression of GPX-PDE through RNA interference resulted in impaired root hair development and density. We propose that white lupin GPX-PDE1 and GPX-PDE2 are involved in the acclimation to Pi limitation by enhancing glycerophosphodiester degradation and mediating root hair development.
Offset estimation for microphone localization using alternating projections

In this paper, we focus on solving the time delay as a separate problem to the reconstruction of the microphone and sound locations. The time delay estimation appears as one of the main steps in sensor calibration problem, once the time delays are known or estimated, we can solve the time-difference-of-arrival problems by converting them to time-of-arrival problems. In this paper we make use of an alternating projection approach for estimating time delays. We show both for simulated and real data that alternative projecting algorithm yields good estimates of the time delays, even when provided with bad initial estimations. The method is also easy to implement and comparatively fast.
A Twofold-LDA Model for Customer Review Analysis

The Latent Dirichlet Allocation model is an unsupervised generative model that is widely used for topic modelling in text. We propose to add supervision to the model in the form of domain knowledge to direct the focus of topics to more relevant aspects than the topics produced by standard LDA. Experimental results demonstrate the effectiveness of our method. We also propose a novel Twofold-LDA model to improve the current output of LDA in order to visualize results in graphical form, which can ultimately be used by potential customers. Experiments show the benefit of this new output, with the ability to produce topics focused on our desired aspects in a user friendly chart.
Construction and optimization of fuzzy relation matrices model based-on semi-tensor product

On base of semi-tensor product (STP) of matrices, this paper proposes a new and more general framework to construct a matrix-based fuzzy relation structure model for multi-input multi-output (MIMO) fuzzy control systems. The measured sampling data of inputs and outputs are assumed to be obtained from experiments. Instead of building the fuzzy logical rule sets of a fuzzy dynamical controller, the whole designing process is realized via matrix expression and algebraic algorithms. After the input and output data pairs which satisfy a fuzzy dynamic process are described by vectors, the fuzzy relation matrixes of all input and output variables for each data pair are calculated respectively so its fuzzy relation matrix can be got. Final fuzzy relation matrix of all measured data can be achieved by fuzzy disjunction operation and then optimized by the fuzzy α-interception matrix. The new technique gives one general design method to obtain fuzzy relation matrix expression of multiple variables fuzzy control systems. It is particularly suitable to design non-decomposable multi-output fuzzy controllers, which is not solvable directly by the traditional decomposed control design methods.
Multistability in Networks With Self-Excitation and High-Order Synaptic Connectivity

This paper presents new results on multistability of networks when neurons undergo self-excitation and second-order synaptic connectivity. Due to self-excitation of neurons, we split state space into invariant regions and establish new criteria of coexistence of equilibria (periodic orbits) which are exponentially stable. It is shown that high-order synaptic connectivity and external inputs play an important role on the number of equilibria and their convergent dynamics. As a consequence, our results refute traditional viewpoint: high-order interactions of neurons have faster convergence rate and greater storage capacity than first-order ones. Finally, numerical simulations will illustrate our new and interesting results.
Thermal-aware electrical analysis of high-speed interconnect

This paper studied the problem of coupled electrical and thermal modeling, specifically for the signal integrity analysis of on-chip interconnect due to the influence of substrate and interconnect temperature. The approach presented in this paper is using finite-difference method (FDM) to solve for the temperature profile of the substrate. The information of the substrate temperature is used for subsequent thermal modeling of the interconnect. The 1D thermal modeling of the interconnect is done by using an equivalent thermal circuit model, which is compatible with the SPICE simulator and can fast produce the temperature profile of the interconnect. Numerical examples are presented, which show that the temperature of the interconnect affects the electrical performance of the interconnect.
Macroevolutionary drivers of extinction and quantitative stratigraphy of graptolites

—Although extinction risk has been found to have a consistent negative relationship with geographic range across wide temporal and taxonomic scales, the effect has been difficult to disentangle from factors such as sampling, ecological niche, or clade. In addition, studies of extinction risk have focused on benthic invertebrates with less work on planktic taxa. We employed a global set of 1114 planktic graptolite species from the Ordovician to lower Devonian to analyze the predictive power of species’ traits and abiotic factors on extinction risk combining general linear models, partial least squares regression, and permutation tests. Factors included measures of geographic range, sampling and graptolitespecific factors such as clade, biofacies affiliation, shallow water tolerance, and age cohorts split at the base of the Katian and Rhuddanian stages. The percent variance in durations explained varied substantially between taxon subsets from 12-45%. Overall commonness, the correlated effects of geographic range and sampling, was the strongest most consistent factor (12-30% variance explained) with clade and age cohort adding up to 18% and other factors <10%. Surprisingly, geographic range alone contributed little explanatory power (<5%). It is likely that this is a consequence of a non-linear relationship between geographic range and extinction risk where the largest reductions in extinction risk are gained from moderate expansion of small geographic ranges. Thus, even large differences in range size between graptolite species did not lead to a proportionate difference in extinction risk because of the large average ranges of these species. Finally, we emphasize that the common practice of determining the geographic range of taxa from the union of all occurrences over their duration poses a substantial risk of overestimating the geographic scope of the realized ecological niche and, thus, of further conflating sampling effects on observed duration with the biological effects of range size on extinction risk.
Patients' experiences of communication and involvement in decision-making about atrial fibrillation treatment in consultations with nurses and physicians.

BACKGROUND Insights in consultations across patient interactions with physicians and nurses are of vital importance for strengthening the patients' involvement in the treatment decision-making process. The experience of involvement and communication in decision-making from the patients' perspective has been sparsely explored. OBJECTIVE To examine how patients describe involvement in and communication about decision-making regarding treatment in consultations with nurses and physicians. METHOD Twenty-two patients with atrial fibrillation (AF), aged 37-90 years, were interviewed directly after their consultations with nurses and physicians in outpatient AF clinics in six Swedish hospitals. RESULTS In consultations with nurses, the patients felt involved when obtaining clarifications about AF as a disease and its treatment and when preparing for and building up confidence in decision-making. In consultations with physicians, the patients felt involved when they could cooperate in decision-making, when acquiring knowledge, and when they felt that they were being understood. One shared category was found in consultations with both nurses and physicians, and the patients felt involved when they had a sense of trust and felt secure during and between consultations. CONCLUSIONS Patients with AF stated that they would need to acquire knowledge and build up confidence and ability in order to be effectively involved in the decision-making about treatment. Despite not being actively involved in decision-making, patients felt involved through experiencing supportive and confirming communication. PRACTICE IMPLICATIONS Attention must be given to the relationship with the patient to create the conditions for patient involvement in the consultation. This can be achieved through supportive communication attempting to create a feeling of clarity and building confidence. This will support involvement in decision-making concerning AF treatment and feelings of being understood and of trust in physicians and/or nurses.
Synchronous Message Passing

This paper studies the characteristics of synchronous ordering of messages. Synchronous ordering of messages deenes synchronous communication based on the causality relation rather than time. We present the necessary characteristics of any algorithm providing deadlock-free synchronous ordering of the messages. We also present the suucient conditions, based on the causality relations, for any algorithm to provide synchronous ordering. The paper proposes an algorithm using acknowledgment messages to implement the suucient conditions. The acknowledgment messages are used to satisfy the causality relation between the events. The algorithm is deadlock-free, and provides a higher degree of concurrency then the algorithms which deene synchronous communication based on time.
The Impact of SFAS No. 131 on Information and Monitoring

We investigate the effect of the Financial Accounting Standards Board's (FASB) new segment reporting standard on the information and monitoring environment. We compare hand-collected, restated SFAS 131 segment data for the final SFAS 14 fiscal year with the historical SFAS 14 data. We find that SFAS 131 increased the number of reported segments and provided more disaggregated information. Analysts and the market had access to a portion of the new segment information before it was made public, but analyst and market expectations were still altered by the mandated release of the new data. By increasing information disaggregation, the new standard induced firms to reveal previously "hidden" information about their diversification strategies. The newly revealed information affected market valuations and lead to changes in firm behavior consistent with improved monitoring following adoption of SFAS 131. Copyright University of Chicago on behalf of the Institute of Professional Accounting, 2003.
Reframing water efficiency : towards interventions that reconfigure the shared and collective aspects of everyday water use

macro socio-economic structures rather than the everyday experiences of producers and consumers (Slater, 2010, Geels et al., 2015). Thus Geels et al., (2015) propose reconfiguration as a politically palatable alternative to weak interventions. Reconfiguration seeks to guide transitions in socio-technical systems to support more sustainable patterns of resource use (Geels, 2002, Tukker et al., 2008, Harvey et al., 2012, Spurling et al., 2013). Such approaches challenge conventional hierarchies of knowledge and power, however, rather than aiming to overthrow macro-contexts or reform technologies and behaviours, emphasise the need for transformation of the social