Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Factory Managed Inventory(FMI) on Global Supply Chains

This paper is concerned with the comparison of a factory managed inventory (FMI) supply chain to a traditional forecast-based orders supply chain. The particular emphasis of this paper is the impact the FMI structures have on the ''Bullwhip Effect'' generated within the supply chain. We especially focused on the relationship between the sales site and the factory site, and the developed FMI supply chain that the factory manages each sales site's inventory level, the production site inventory level and actual customer demand as a unified integrated system. A comparison of the performance of the FMI system and conventional supply chain system of a global electronics parts company was investigated by present value (PV) analysis using the value of inventories as a variable. The results revealed that FMI greatly contributed to both reduction of the Bullwhip Effect and improvements of the cash flow PV Index.
Earthquake Source Fault Beneath Tokyo

Devastating earthquakes occur on a megathrust fault that underlies the Tokyo metropolitan region. We identify this fault with use of deep seismic reflection profiling to be the upper surface of the Philippine Sea plate. The depth to the top of this plate, 4 to 26 kilometers, is much shallower than previous estimates based on the distribution of seismicity. This shallower plate geometry changes the location of maximum finite slip of the 1923 Kanto earthquake and will affect estimations of strong ground motion for seismic hazards analysis within the Tokyo region.
The Use of Soft Systems Methodology (SSM) As A Tool For Investigation

Soft Systems Methodology (SSM) was devised by Checkland (1981) and elaborated by Checkland & Scholes (1990) to provide a tool for investigating an unstructured problem situation. SSM is not a system design tool, but a tool for system requirements investigation. Unlike systems analysis tools, such as entity-relationship modelling or data-flow diagrams, which allow the designer to model how the system should operate, SSM questions what operations the system should perform and, more importantly, why. Thus SSM provides a "soft" investigation (into what the system should do) which can be used to precede the "hard" investigation (into how the system should do it). Figure 1 illustrates the purpose of SSM; it should be noted that SSM does not produce either a set of information system requirements or an information system design. SSM produces a set of feasible and culturally-acceptable actions which can be taken to improve the problem situation. These actions may be used to produce a set of information systems requirements, but it is more helpful to see them as a set of organisational process improvements, where a process is a set of organisational tasks performed purposefully by a human actor or actors.
A Morphable Model to simulate rejuvenation trajectory of 3D face images: Preliminary results

Facial Aging (FA) process as a natural phenomenon has been of great interest to many researchers as well as for studies in the field of gerontology and private sector firms like airports and police departments. As opposed to previous studies which focused on predicting the facial appearance changes of the individuals, this paper details the backward aging trajectory of face images in 3 dimensional environment. This model is learned from a database of three dimensional facial images which is built by five individual age groups between 3 to 35 years old. 3D facial aging modeling is a complex process since it affects both the shape and texture of the face. We propose the Statistical Rejuvenation Model (SRM), a morphable face model to transform the given adult face to its youthful appearance by changing its shape and texture simultaneously.
TRPV4, TRPC1, and TRPP2 assemble to form a flow‐sensitive heteromeric channel

Transient receptor potential (TRP) channels, a superfamily of ion channels, can be divided into 7 subfamilies, including TRPV, TRPC, TRPP, and 4 others. Functional TRP channels are tetrameric complexes consisting of 4 pore‐forming subunits. The purpose of this study was to explore the heteromerization of TRP subunits crossing different TRP subfamilies. Two‐step coimmunoprecipitation (co‐IP) and fluorescence resonance energy transfer (FRET) were used to determine the interaction of the different TRP subunits. Patch‐clamp and cytosolic Ca2+ measurements were used to determine the functional role of the ion channels in flow conditions. The analysis demonstrated the formation of a heteromeric TRPV4‐C1‐P2 complex in primary cultured rat mesenteric artery endothelial cells (MAECs) and HEK293 cells that were cotransfected with TRPV4, TRPC1, and TRPP2. In functional experiments, pore‐dead mutants for each of these 3 TRP isoforms nearly abolished the flow‐induced cation currents and Ca2+ increase, suggesting that all 3 TRPs contribute to the ion permeation pore of the channels. We identified the first heteromeric TRP channels composed of subunits from 3 different TRP subfamilies. Functionally, this heteromeric TRPV4‐C1‐P2 channel mediates the flow‐induced Ca2+ increase in native vascular endothelial cells. —Du, J., Ma, X. , Shen, B. , Huang, Y. , Birnbaumer, L. , Yao, X. , TRPV4, TRPC1, and TRPP2 assemble to form a flow‐sensitive heteromeric channel. FASEB J. 28, 4677–4685 (2014). www.fasebj. org
A novel approach to improve the performance of the P300 speller paradigm

A brain computer interface (BCI) system provides a communication channel between a brain and a computer bypassing the need for muscular means. Electroencephalography based BCI systems that utilize the P300 speller paradigm are commonly used but due to the nature of the P300 speller paradigm, these systems are prone to erroneous classification. In this study, a novel approach addressing the variations in the characteristics of the P300 elicited by column and row flashes was proposed to overcome this problem. Markedly better results were achieved by both single trial analysis and averaging when the proposed approach was used. More than a 5% increase in single trial classification accuracy was observed, and the number of trials needed to obtain 100% classification accuracy was reduced by 44%. The results of this study warrant further research to implement the proposed approach in other methodologies.
Soft sensor based estimation of process parameters and states with Hybridized Grey Wolf Optimizer

Metaheuristics based global optimization technique is one among the state of art in soft sensing applications. The metaheuristic based soft sensor is capable of coping with the stochasticity of the process and as well as the corresponding nonlinearities in the dynamics. In this work, a multi-objective based parameter estimation and soft-sensing of unknown states are carried out for a modified version of Quadruple Tank Process (QTP). The effect of the outlet valve over the dynamics of the process is briefly investigated to emphasize the implication of these parameters in the process. The unknown parameters and unobserved states of the QTP are estimated through a Hybridized Grey Wolf Optimization (HGWO). The HGWO is a metaheuristic based optimization, hybridized with static Kalman Bucy (KB) algorithm. The hybridization is carried out to improve the convergence rate of the existing algorithm in terms of ideal computational cycle and proximity towards the global solution. Performance of the proposed HGWO is compared along with the conventional GWO algorithm. The estimation is executed for QTP operating in Non-Minimum Phase (NMP) mode and the simulated results proves the proposed HGWO based soft sensor provides a better result compared to the GWO algorithm.
A simplified method for producing rapid ventricular hypertrophy in rats.

Banding the suprarenal abdominal aorta in rats resulted in a 26% increase in the ratio of left ventricular weight to body weight. The maximum left ventricular hypertrophy was attained on the sixth day following the banding. There was also a 16% increase in the ratio of right ventricular weight to body weight. There was no evidence of congestive heart failure. The method described is technically simple, hypertrophy develops rapidly, and it results in a reproducible degree of hypertrophy. The method has distinct advantages over other methods used to produce cardiac hypertrophy in rats such as banding the thoracic aorta, arteriovenous fistula, exercise, anaemia, and treatment with sympathomimetic drugs and thyroxine.
Generation mean analysis to estimate genetic parameters for morphological traits in common bean (Phaseolus vulgaris L.)

Six generation (P1, P2, F1, F2, BC1 and BC2) derived from two crosses ((A.1007 × DER.) and (GOLI × D81)) of common bean were grown in a randomized complete block design with three replication in 2010 at research field of Razi University, Kermanshah, Iran. Experiment was executed to estimate different genetic effects of five morphological traits (plant height, node number of main stem, node number of lateral branches, internode length and internode diameter) in common bean by using generation mean analysis. Results of analysis of variance showed that there was a genetic variation for traits. The results of generation mean analysis with three-parameter genetic model and also scaling tests (A, B, C and D) revealed inadequacy of the additive-dominance simple model to demonstrate the genetic mechanism controlling the traits. Hayman six parameters genetic model showed that dominance and epistasis effects were important in the inheritance of plant height, node number of main stem and node number of lateral branches, wheras only epistasis effect was important for internode length and internode diameter inheritance. Dominance effect had a more pronounced effect in genetic control of all characters. Furthermore, results of the study demonstrated existence of duplicate type of epistasis for most traits. Broadsense heritability estimates were greater than narrow-sense heritability for all traits in both crosses. The genetic advance estimates were low for all the traits except for plant height in GOLI×D81083 cross.
Understanding civic engagement behaviour on Facebook from a social capital theory perspective

This paper applies the social capital theory to construct a model for investigating the factors that influence online civic engagement behaviour on Facebook. While there is promising evidence that people are making concerted efforts to adopt Facebook to address social issues, research on their civic behaviour from a social capital viewpoint in the social media context remains limited. This study introduces new insights into how Facebook is shaping the landscape of civic engagement by examining three dimensions of social capital – social interaction ties (structural), trust (relational), and shared languages and vision (cognitive). The study contends that these dimensions will influence individuals’ online civic engagement behaviour on Facebook. We also argue that social interaction ties can engender trust, and shared languages and vision among its members, and that shared languages and vision can increase trust among Facebook members. Empirical data collected from 1233 Facebook users provide support for the proposed model. The results help in identifying the motivation underlying the online civic engagement behaviour of individuals in a public virtual community. The implications for theory and practice and future research directions are discussed.
Comparing fibreoscopy with the Pentax Airway Scope for awake orotracheal intubation

metabolic disorders, central nervous system infections [1], and can follow administration of a large number of drugs [2], including etomidate [2, 3] and propofol [4, 5]. Myoclonus is a rare complication of neuraxial anaesthesia [6]. Cortical reflex myoclonus is distinct from other subtypes of myoclonus, and is elicited in response to external stimuli, such as light, sound, and touch, and aggravated by emotional excitation [1]. In this case, the patient remained conscious throughout episodes of convulsion, which differentiated her condition from presumed epileptic episodes, based on her past medical history. Since unanticipated patient movement may be potentially hazardous during eye surgery, the need for general anaesthesia should be considered in a patient with cortical reflex myoclonus. In patients undergoing surgery using local or regional anaesthesia, it is important to understand what environment triggers elicit myoclonus and minimise exposure to these. Supplemental sedation with intravenous midazolam may be effective in preventing and treating myoclonus [3, 6].
Experimental-Analytical Qualification of a Piezoelectric Mechanism for a Critical Space Application

Modern launch-lock and release mechanisms are mechatronics systems that are often responsible for critical tasks in space applications. In the European Space Agency mission LISA-Pathfinder, a piezoelectrical mechanism performs the dynamic release of an object (in very demanding conditions). A 1.96-kg cubic test mass has to be held during launch and then released into free fall with a velocity below 5 μm/s. Two identical and opposed mechanisms, moved by piezostack actuators, are designed for a nominally symmetrical release in order to minimize this residual velocity. However, deviations from this symmetric release can produce a momentum transfer to the mass that can result in an excessive velocity. Two main critical effects are highlighted. First, metallic adhesion at the contact interface between the mechanisms and the test mass has a limited repeatability and behaves differently on the two nominally identical sides, producing a net force on the test mass. Second, a net force also arises if the retractions of the two opposing mechanisms are not symmetrical during the interaction with the test mass. Models of the electromechanical dynamics of the mechanisms and their physical interaction with the test mass have been formulated, validated with experimental data, and used to run a large set of Monte Carlo simulations. The effect of uncertainty in the piezoelectrical, mechanical, and electrical parameters is included, allowing us to obtain a statistical distribution of the release velocity and to predict the in-flight performance of the mechanism. This paper is also intended as a reference for future scientific and commercial drag-free missions.
A statistical simulation technique to develop and evaluate conversational agents

In this paper, we present a technique for developing user simulators which are able to interact and evaluate conversational agents. Our technique is based on a statistical model that is automatically learned from a dialog corpus. This model is used by the user simulator to provide the next answer taking into account the complete history of the interaction. The main objective of our proposal is not only to evaluate the conversational agent, but also to improve this agent by employing the simulated dialogs to learn a better dialog model. We have applied this technique to design and evaluate a conversational agent which provides academic information in a multi-agent system. The results of the evaluation show that the proposed user simulation methodology can be used not only to evaluate conversational agents but also to explore new enhanced dialog strategies, thereby allowing the conversational agent to reduce the time needed to complete the dialogs and automatically detect new valid paths to achieve each of the required objectives defined for the task.
High Resolution Melting (HRM) for High-Throughput Genotyping—Limitations and Caveats in Practical Case Studies

High resolution melting (HRM) is a convenient method for gene scanning as well as genotyping of individual and multiple single nucleotide polymorphisms (SNPs). This rapid, simple, closed-tube, homogenous, and cost-efficient approach has the capacity for high specificity and sensitivity, while allowing easy transition to high-throughput scale. In this paper, we provide examples from our laboratory practice of some problematic issues which can affect the performance and data analysis of HRM results, especially with regard to reference curve-based targeted genotyping. We present those examples in order of the typical experimental workflow, and discuss the crucial significance of the respective experimental errors and limitations for the quality and analysis of results. The experimental details which have a decisive impact on correct execution of a HRM genotyping experiment include type and quality of DNA source material, reproducibility of isolation method and template DNA preparation, primer and amplicon design, automation-derived preparation and pipetting inconsistencies, as well as physical limitations in melting curve distinction for alternative variants and careful selection of samples for validation by sequencing. We provide a case-by-case analysis and discussion of actual problems we encountered and solutions that should be taken into account by researchers newly attempting HRM genotyping, especially in a high-throughput setup.
Interoperability Standards enabling cross-border Patient Summary Exchange

In an increasingly mobile world, many citizens and professionals are frequent travellers. Access during unplanned care to their patient summary, their most essential health information in a form physicians in another country can understand can impact not only their safety, but also the quality and effectiveness of care. International health information technology (HIT) standards such as HL7 CDA have been developed to advance interoperability. Implementation guides (IG) and IHE profiles constrain standards and make them fit for the purpose of specific use cases. A joint effort between HL7, IHE, and HealthStory created Consolidated CDA (C-CDA), a set of harmonized CDA IGs for the US that is cited in the Meaning Use II (MU-II) regulation. In the EU, the Patient Summary (PS) Guideline recently adopted, cites the epSOS IG also based on HL7 CDA, to support cross-border care in the EU and inform national eHealth programs. Trillium Bridge project supports international standards development by extending the EU PS Guideline and MU-II in the transatlantic setting. This paper presents preliminary findings from comparing patient summaries in the EU and US and reflects on the challenge of implementing interoperable eHealth systems in the cross-border or transatlantic setting.
Effects of a Telephone-Based Exercise Intervention for Dementia Caregiving Wives

Despite the importance of self-care for dementia caregivers, few interventions have included a focus on health behaviors. This study reports outcomes of a telephone-based exercise intervention designed for women caring for a spouse with dementia. Caregivers (N = 137) were randomized to intervention or control conditions. Participants with at- or below-median exercise scores at baseline had a significantly greater increase in exercise at 6-month follow-up compared with their control counterparts. At 6 months, participants had greater reductions in perceived stress relative to controls. Participants also reported significantly greater increases in exercise self-efficacy than caregivers in the control group at both follow-up points. Results indicate that spouse caregivers are able to increase their physical activity and that a focus on exercise in multicomponent interventions may be beneficial. Debate and discussion are needed to inform expectations for program effects and their maintenance and to explore the interface between enhanced self-care and caregiving perceptions.
Dynamic Hierarchical Clustering for Data Exploration Avinava Dubey Machine Learning

Background Hierarchical clustering methods offer an intuitive and powerful way to model and explore a wide variety of data sets. However, the assumption of a fixed hierarchy is often overly restrictive as the hierarchy may evolve when working with data generated over a period of time. Due to this restriction, existing methods that can only learn static hierarchies and are unable to model hierarchies that evolve over time. Aim In this paper we aim to overcome this problem. We expect both the structure of our hierarchy and the parameters of the clusters to evolve with time. To this end we aim to model this evolution of both structure of hierarchy and the parameters over time. Our primary goal in this paper is to show that doing so will lead to better modeling of such data and help us in discovering interesting trends in data. Data We explore three different datasets: (a) 79,800 paper titles from the Proceedings of the National Academy of Sciences (PNAS) between 1915 and 2005, containing 36,901 unique words (b) Presidential State of the Union (SoU) addresses from 1790 through 2002, containing 56,352 sentences and 21,505 unique words (c) 673,102 tweets containing hashtags relevant to the NFL, collected over 18 weeks in 2011 and containing 2,636 unique words. Methods In this paper, we define a distribution over temporally varying trees with infinitely many nodes (representing clusters) that captures evolving hierarchies. We show that this model can be used to cluster both real-valued and discrete observations. Finally, we propose a scalable approximate Markov chain Monte Carlo inference scheme that can be run in a distributed manner. Results Quantitatively, we find that our model has significantly better log-likelihood on test data for all three datasets considered. Qualitatively, we also found interesting sub-parts of the hierarchies and how they evolve over time. For example, we show how “Immunology” appeared and then evolved over time in the PNAS dataset after the discovery of the structure of antibodies in 1960. Conclusion The quantitative experiment shows that as compared to baselines our dynamic hierarchical clustering better fits a given dataset and generalizes well to unseen data. We also show that we are able to find interesting trends that have not been seen before in the given datasets. Through our experiments we make a compelling case for using dynamic hierarchical clustering models to explore data generated over a period of time.