Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross Functional Alignment in Supply Chain Planning : A Case Study of Sales & Operations Planning Revised October 11 , 2006 Professor

Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be cited or reproduced without permission of the copyright holders. Copies of working papers are available from the authors. Abstract In 2002, Leitax, a niche consumer electronics company, suffered serious supply chain planning mishaps due to poor cross-functional integration in the supply/demand planning activities. The poor integration resulted from organizational differentiation among the functions and an unsophisticated approach to integration. In response to the planning mishaps, the organization introduced significant changes, which we examine in this case study. After highlighting the constituent responsibilities, structures, and processes, we recognize a system, as opposed to a list of mechanisms, as responsible for cross-functional integration. Operationalizing integration as functional alignment with generated plans, we find collaborative engagement of the functions to be a consistent process feature and operational norm encouraged and maintained by integrators. In particular, the information processing nature of the sales and operations planning (S&OP) process introduced at Leitax is argued effective as a result of this collaborative engagement. We argue that this collaborative engagement positively influences alignment even in the absence of an overall reduction in the level of differentiation exhibited by an organization, which stands in contrast to academic structural recommendations for changes in incentives for achieving integration. Examining a systemic tradeoff consciously acknowledged by the organization, we further argue that alignment encouraged by this collaborative engagement can be more important than achieving, superior performance along such dimensions as speed or accuracy in individual information processing steps of the S&OP process, a tradeoff which to our knowledge has not been highlighted in the supply chain management literature.
Augmented product codes and lattices: Reed-Muller codes and Barnes-Wall lattices

This paper concerns the construction of the so-called augmented product codes and augmented product lattices. These are obtained by augmenting product codes or product lattices from certain classes thus obtaining higher dimensional codes or lattices from the same class, respectively. Certain properties of the augmented product construction are derived, and specific construction examples are given. In particular, it is shown that the Reed-Muller codes, the Golay code, the Barnes-Wall lattices, as well as the Leech lattice all have various augmented product constructions.
Inhibitory Control TrainInhibitory Control Training and Disruptive Behaviour in Young People

9 Introduction. 10 Method . 12 Inclusion/Exclusion Criteria . 12 Search and Screening Procedures . 16 Evaluation Criteria . 18 Screening Reliability . 18 Results . 19 Participants . 29 Design . 30 Control/Comparison Groups . 30 Measures Used . 31 Interventions Used . 41 Study Findings . 47 Impact/Quality . 29 Discussion . 48 Strengths and Weaknesses of This Review . 50 INHIBITORY CONTROL TRAINING AND DISRUPTIVE BEHAVIOUR IN YOUNG PEOPLE 3 Suggestions for Future Research . 51 Conclusions . 51 References . 53 Appendices. 62 Appendix A. Effective Health Practice Project (EPHPP) Quality Assessment Tool for Quantitative Studies . 62 Appendix B. Submission Guidance for Authors from Neuropsychological Rehabilitation Manuscript preparation . 66 EMPIRICAL PAPER . 73 Acknowledgements . 74 Abstract . 75. 75 Introduction. 77 Training IC/Impulsivity . 78 Aims . 81 Research Questions . 81 Research Hypotheses . 81 Method . 82 Design . 82 Ethical Considerations for Empirical Research . 83 Measures . 84 Characterisation measures . 84 Outcome measures. 85 Phase-change measures . 85 INHIBITORY CONTROL TRAINING AND DISRUPTIVE BEHAVIOUR IN YOUNG PEOPLE 4 Continuous measures of change . 86 The training. 87 Participants . 87 Procedure . 88 Data Analysis . 90 Results . 91 Sample Characteristics . 91 Hypothesis 1: Inhibitory Control Performance . 93 Hypothesis 2. Behavioural Control Performance . 97 Discussion . 109 Theoretical and Clinical Implications . 111 Limitations of Study . 112 Future Directions . 117 Conclusion. 118 References . 119 Appendices. 132 Appendix A. Proof of University Ethics Approval . 132 Appendix B. Research Risk Protocol . 133 Appendix C. Example of Goal Attainment Scale (GAS). 135 Appendix D. Further Technical Details of Measures Used . 136 Appendix E. Further Technical Details of Training Used . 142 Appendix F. Eligibility Screening Tool . 144 INHIBITORY CONTROL TRAINING AND DISRUPTIVE BEHAVIOUR IN YOUNG PEOPLE 5 Appendix G. Initial Contact Letter and Consent to Contact Form . 145 Appendix H. Young Person’s Information Sheet . 147 Appendix I. Parent/Carer’s Information Sheet . 149 Appendix J. Young Person’s Consent Form . 151 Appendix K. Parent/Carer’s Consent Form . 152 Appendix L. Baseline and Intervention Phase Allocation . 153 Appendix M. Metacognitive Workbook Example . 154 Appendix N. Debrief Information . 174 Appendix O. Full Characterisation Measure Data . 176 Appendix P. Stop Signal Reaction Times per Training Day per Participant 178 Appendix Q. Raw and Scaled Phase-Change IC/Impulsiveness Scores for each Participant and RCIs for each Phase-Change . 179 Appendix R. Raw and Mean Goal Attainment Scale (GAS) Scores for each Participant . 182 Appendix S. Raw and Scaled Phase-Change Behavioural-Control Scores for each Participant and RCIs for each Phase-Change . 183 Appendix T. Dissemination Statement . 186 INHIBITORY CONTROL TRAINING AND DISRUPTIVE BEHAVIOUR IN YOUNG PEOPLE 6
Optical tomography in medical imaging

We present a review of methods for the forward and inverse problems in optical tomography. We limit ourselves to the highly scattering case found in applications in medical imaging, and to the problem of absorption and scattering reconstruction. We discuss the derivation of the diffusion approximation and other simplifications of the full transport problem. We develop sensitivity relations in both the continuous and discrete case with special concentration on the use of the finite element method. A classification of algorithms is presented, and some suggestions for open problems to be addressed in future research are made.
Gland segmentation from histology images using informative morphological scale space

Grading of cancer offers insight to the occurrence and progress of the disease. The course of treatment is planned depending on the grade of cancer. Segmentation of the glandular structure of tissue is a prerequisite for grading of colon, prostate and breast cancers. Manual segmentation method is time-consuming and suffers from the curse of observer bias. We propose an automated solution for gland segmentation from hematoxylin & eosin (H&E) stained histology images. Our method relies on the biological cue rather than gland specific signatures that may vary across the slides. We construct a novel informative morphological scale space for gland segmentation. The scale space uses the entropy of the connected components in a novel manner to prevent over segmentation of objects. Our solution is fast, accurate and applicable in a clinical setup. Experiments show an average F1 score of 0.68 for 85 histology images in 20x magnification. We obtain ~ 30% improvement in F1 score compared to the area morphological scale space method.
Identifying Unexpected Therapeutic Targets via Chemical-Protein Interactome

Drug medications inevitably affect not only their intended protein targets but also other proteins as well. In this study we examined the hypothesis that drugs that share the same therapeutic effect also share a common therapeutic mechanism by targeting not only known drug targets, but also by interacting unexpectedly on the same cryptic targets. By constructing and mining an Alzheimer's disease (AD) drug-oriented chemical-protein interactome (CPI) using a matrix of 10 drug molecules known to treat AD towards 401 human protein pockets, we found that such cryptic targets exist. We recovered from CPI the only validated therapeutic target of AD, acetylcholinesterase (ACHE), and highlighted several other putative targets. For example, we discovered that estrogen receptor (ER) and histone deacetylase (HDAC), which have recently been identified as two new therapeutic targets of AD, might already have been targeted by the marketed AD drugs. We further established that the CPI profile of a drug can reflect its interacting character towards multi-protein sets, and that drugs with the same therapeutic attribute will share a similar interacting profile. These findings indicate that the CPI could represent the landscape of chemical-protein interactions and uncover “behind-the-scenes” aspects of the therapeutic mechanisms of existing drugs, providing testable hypotheses of the key nodes for network pharmacology or brand new drug targets for one-target pharmacology paradigm.
Compositional transient stability analysis of power systems via the computation of reachable sets

The main challenge associated with the analysis of power systems via the computation of reachable sets is improving the algorithmic efficiency to scale towards industrially relevant problem sizes. In this paper, we present a compositional algorithm that can drastically reduce the computational effort required to assess the dynamical response of power systems during transients using reachability analysis. The main reason for the algorithmic efficiency is that we reformulate the transmission network into a set of subsystems, each consisting of a synchronous generator connected to a generator bus, whose algebraic constraints are unknown-but-bounded within some confidence intervals. This makes it possible to parallelize the computation of reachable sets for transient stability analysis and, more importantly, preserve the interaction and correlation between different machines connected to the grid. The applicability of the proposed compositional algorithm is illustrated on several benchmark examples and compared to other algorithms that compute the reachable set without employing any compositional techniques.
MusicScore: mobile music composition for practice and fun

In this paper, we present our design of MusicScore, a professional grade application on the iOS platform for music composition and live performance tracking, used by composers and amateurs alike. As its foundation, we have designed and implemented a high-quality music engraver, capable of real-time interactive rendering on mobile devices, as well as an intuitive user interface based on multi-touch, both built from scratch using Objective-C and Cocoa Touch. To make MusicScore appealing to the general population for their practice and fun, we have introduced a unique auditory capability to MusicScore, so that it can "listen" to and analyze live instrument performance in real time. In order to compensate for the imperfect audio sensing system on mobile devices, we have proposed a collaborative sensing solution to better capture music signals in real time. To maximize the accuracy of live progress tracking and performance evaluation using a mobile device, we have designed a collection of note detection and tempo-based note matching algorithms, using a combination of microphone and accelerometer sensors. Based on our real-world implementation of MusicScore, extensive evaluation results show that MusicScore can achieve acceptably low error ratios, even for music pieces performed by highly inexperienced players.
The Neck Region of the C-type Lectin DC-SIGN Regulates Its Surface Spatiotemporal Organization and Virus-binding Capacity on Antigen-presenting Cells*

Background: Nanoclusters of the C-type lectin DC-SIGN on dendritic cells act as docking sites for viral binding. Results: The extracellular neck region is responsible for nanocluster formation and necessary for virus binding. Conclusion: Heterogeneous nanocluster density and spatial distribution confer broad binding capabilities to DC-SIGN. Significance: Insights into how virus receptors preorganize and assemble into docking platforms contribute to clarifying mechanisms of virus entry. The C-type lectin DC-SIGN expressed on dendritic cells (DCs) facilitates capture and internalization of a plethora of different pathogens. Although it is known that DC-SIGN organizes in nanoclusters at the surface of DCs, the molecular mechanisms responsible for this well defined nanopatterning and role in viral binding remain enigmatic. By combining biochemical and advanced biophysical techniques, including optical superresolution and single particle tracking, we demonstrate that DC-SIGN intrinsic nanoclustering strictly depends on its molecular structure. DC-SIGN nanoclusters exhibited free, Brownian diffusion on the cell membrane. Truncation of the extracellular neck region, known to abrogate tetramerization, significantly reduced nanoclustering and concomitantly increased lateral diffusion. Importantly, DC-SIGN nanocluster dissolution exclusively compromised binding to nanoscale size pathogens. Monte Carlo simulations revealed that heterogeneity on nanocluster density and spatial distribution confers broader binding capabilities to DC-SIGN. As such, our results underscore a direct relationship between spatial nanopatterning, driven by intermolecular interactions between the neck regions, and receptor diffusion to provide DC-SIGN with the exquisite ability to dock pathogens at the virus length scale. Insight into how virus receptors are organized prior to virus binding and how they assemble into functional platforms for virus docking is helpful to develop novel strategies to prevent virus entry and infection.
Microarchitectural Trade-Offs in the Design of a Scalable Clustered Microprocessor

Clustered microarchitectures are an attractive alternative to large monolithic superscalar designs due to their potential for higher clock rates in the face of increasingly wire-delay-constrained process technologies. In such a microarchitecture, the distribution of functional units, the register files, and the issue queues across multiple clusters reduces the latency of various cycle time critical paths, thereby enabling a faster clock. However, a penalty in terms of instructions per cycle is incurred if instructions frequently communicate values among clusters because of dependences. pp In this paper, we propose several novel extensions that significantly improve the performance of clustered designs. First, we explore a word-interleaved clustered cache in which memory instructions are steered to clusters based on addresses, and when the effective address is unknown, directs memory operations to the appropriate cluster via bank prediction. We then study the scalability of the resulting clustered microarchitecture as the number of clusters is increased (resulting in a corresponding increase in inter-cluster communication latency). Our evaluation identifies the key bottlenecks and shows how novel enhancements to the cluster resource allocation mechanisms can significantly improve the scalability of the design. We also show that communication latency in a highly clustered processor can be reduced for certain programs by only using a subset of the clusters. Overall, these enhancements achieve a 30% fill in the correct value improvement over a baseline design with the clustered cache.
Efficient architecture and implementation of PHY WLAN receiver on reconfigurable platforms

This paper presents the design, implementation and validation of PHYsical Layer WLAN Receiver customised for IEEE 802.11a/g standards. Since the performance requirements for receiver are fixed, the design strategy was mainly focused on the algorithms chosen for receiver in order to achieve a desired performance and also reduction in hardware cost and latency.
Multiscale collaborative speech denoising based on deep stacking network

A growing number of noise reduction algorithms based on supervised learning have begun to emerge in recent years and show great promise. In this study, we focus on the problem of speech denoising at very low signal-to-noise ratio (SNR) conditions using artificial neural networks. The overall objective is to increase speech intelligibility in the presence of noise. Inspired by multitask learning (MTL), a novel framework based on deep stacking network (DSN) is proposed to do speech denoising at three different time-frequency scales simultaneously and collaboratively. Experiment results show that our algorithm outperforms a state-of-the-art method that is based on traditional deep neural network (DNN).
Towards hardware stereoscopic 3D reconstruction a real-time FPGA computation of the disparity map

Stereoscopic 3D reconstruction is an important algorithm in the field of Computer Vision, with a variety of applications in embedded and real-time systems. Existing software-based implementations cannot satisfy the performance requirements for such constrained systems; hence an embedded hardware mechanism might be more suitable. In this paper, we present an architecture of a 3D reconstruction system for stereoscopic images, which we implement on Virtex2 Pro FPGA. The architecture uses a Sobel edge detector to achieve real-time (75 fps) performance, and is configurable in terms of various application parameters, making it suitable for a number of application environments. The paper also presents a design exploration on algorithmic parameters such as disparity range, correlation window size, and input image size, illustrating the impact on the performance for each parameter.
Parallel Prime Number Labeling of Large XML Data Using MapReduce

Massive XML (Extensible Markup Language) data are available on the web. XML data labeling schemes have been suggested for structural query processing of massive XML data. Notable schemes include interval- based, prefix-based, and prime number-based labeling schemes. Of these, the prime number labeling scheme has the advantage of query processing by simple arithmetic operations. However, a parallel algorithm for this scheme does not exist. The requirement that all parents' labels have to be multiplied to obtain the label of a node makes it difficult to label XML data in a parallel fashion. To address the issue, in this paper, we propose a cluster-based technique wherein all parent nodes for a node are aggregated to compute its label by two-step MapReduce jobs. Our experiments on real-world XML datasets showed the advantages over a single machine-based system.
Accumulation of actin in subsets of pioneer growth cone filopodia in response to neural and epithelial guidance cues in situ

Directed outgrowth of neural processes must involve transmission of signals from the tips of filopodia to the central region of the growth cone. Here, we report on the distribution and dynamics of one possible element in this process, actin, in live growth cones which are reorienting in response to in situ guidance cues. In grasshopper embryonic limbs, pioneer growth cones respond to at least three types of guidance cues: a limb axis cue, intermediate target cells, and a circumferential band of epithelial cells. With time-lapse imaging of intracellularly injected rhodamine-phalloidin and rhodamine-actin, we monitored the distribution of actin during growth cone responses to these cues. In distal limb regions, accumulation of actin in filopodia and growth cone branches accompanies continued growth, while reduction of actin accompanies withdrawal. Where growth cones are reorienting to intermediate target cells, or along the circumferential epithelial band, actin selectively accumulates in the proximal regions of those filopodia that have contacted target cells or are extending along the band. Actin accumulations can be retrogradely transported along filopodia, and can extend into the central region of the growth cone. These results suggest that regulation and translocation of actin may be a significant element in growth cone steering.
Volunteer transitions among older adults: the role of human, social, and cultural capital in later life.

OBJECTIVES We aim to understand how human, social, and cultural capitals are associated with the volunteer process, that is, engagement (starting), intensity (number of hours), and cessation (stopping), among older adults. METHOD Data from the 2000 through 2008 Health and Retirement Study and the 2001 through 2009 Consumption and Activity Mail Survey provide a sample of 4,526 respondents. Random-effects pooled time series analyses incorporate not only the presence of various types of capital but also the quality of that capital. RESULTS Human and cultural capitals were positively associated with increased volunteer involvement. Effects of social capital (relationships in the family, employment status, and the community) depended on the quality of the relationships, not necessarily on their presence alone. DISCUSSION Results suggest that bolstering older adults' capitals, particularly among lower socioeconomic status groups, can increase volunteer engagement and intensity and reduce cessation. Additionally, a variety of organizational policies including respite programs for caregivers and employer policies allowing employees to reduce their work hours might indirectly affect participation rates and commitment. Potential pools of volunteers exist in families, workplaces, and religious organizations, but more research is necessary to identify how to recruit and retain individuals in social networks where volunteer participatory rates are low.
String Quartets in Binary

Let M(n, A) denote the maximum possible cardinality of a family of binary strings of length n, such that for every four distinct members of the family there is a coordinate in which exactly two of them have a 1. We prove that M(n, A) [les ] 20.78n for all sufficiently large n. Let M(n, C) denote the maximum possible cardinality of a family of binary strings of length n, such that for every four distinct members of the family there is a coordinate in which exactly one of them has a 1. We show that there is an absolute constant c < 1/2 such that M(n, C) [les ] 2cn for all sufficiently large n. Some related questions are discussed as well.
ADAM - A Database and Information Retrieval System for Big Multimedia Collections

The past decade has seen the rapid proliferation of low-priced devices for recording image, audio and video data in nearly unlimited quantity. Multimedia is Big Data, not only in terms of their volume, but also with respect to their heterogeneous nature. This also includes the variety of the queries to be executed. Current approaches for searching in big multimedia collections mainly rely on keywords. However, manually annotating every single object in a large collection is not feasible. Therefore, content-based multimedia retrieval -using sample objects as query input - is increasingly becoming an important requirement for dealing with the data deluge. In image databases, for instance, effective methods exploit the use of exemplary images or hand-drawn sketches as query input. In this paper, we introduce ADAM, a novel multimedia retrieval system that is tailored to large collections and that is able to support both Boolean retrieval for structured data and similarity-based retrieval for feature vectors extracted from the multimedia objects. For efficient query processing in such big multimedia data, ADAM allows the distribution of the indexed collection to multiple shards and performs queries in a MapReduce style. Furthermore, it supports a signature-based indexing strategy for similarity search that heavily reduces the query time. The efficiency of ADAM has been successfully evaluated in a content-based image retrieval application on the basis of 14 million images from the ImageNet collection.