Miracle-dz/UniFAR-FTUs huggingface dataset:
Sketch based skirt image retrieval

Although many online shops allow users to search for clothes by categories or keywords, it is usually impossible to specify the details of the design. This paper presents a new technology for retrieving skirt images based on sketches. We first conducted a user study to investigate the typical features illustrated in a sketch. Then algorithms have been developed for automatically extracting those features from both the skirt images and the sketches. A prototype system has been implemented to retrieve and present the best matched skirts in real time when a user interactively sketches her imagined skirt on the canvas.
Enabling real time requirements in industrial IoT through IETF 6TiSCH

With the emerging open-standards for Internet-of-Things, we can expect an increased use of wireless sensor networks in industrial environment. IEEE 802.15. 4e protocol has been specially designed to support the communication in industrial environments and complex industrial processes using Time Slotted Channel Hopping (TSCH) mode. The OpenWSN implements TSCH MAC layer and IPv6 adaptation to the Low-power and Lossy Networks (LLNs) as defined by the IETF 6TiSCH working group. In OpenWSN, decentralized and distributed On-The-Fly (OTF) scheduling techniques for 6TiSCH environment are supported. In this paper, we present an evaluation of OTF scheduling technique carried out for different slot schedules considering two scenarios single channel communication and channel hopping. Experimental validation was carried out using TelosB motes running the OpenWSN 6TiSCH protocol stack. The parameters such as radio duty cycle, total number of packets successfully transmitted and received, and RSS levels are measured by varying the network size to compare the advantage of TSCH mode scheduling over the default. Our experiment results indicate 6TiSCH environment is best suited to address the emerging industrial Internet of Things requirements.
Graph genetic programming for hybrid neural networks design

This paper presents a novel approach devoted to the design of feed forward hybrid neural models. Graph genetic programming techniques are used to provide a flexible construction of partially interconnected neural structures with heterogeneous layers built as combinations of local and global neurons. By exploiting the inner modularity and the parallelism of the neural architectures, the approach suggests the encryption of the potential mathematical models as directed acyclic graphs and defines a minimally sufficient set of functions which guarantees that any combination of primitives encodes a valid neural model. The exploration capabilities of the algorithm are heightened by means of customized crossovers and mutations, which act both at the structural and the parametric level of the encrypted individuals, for producing offspring compliant with the neural networks' formalism. As the parameters of the models become the parameters of the primitive functions, the genetic operators are extended to manage the inner configuration of the functional nodes in the involved hierarchical individuals. The applicability of the proposed design algorithm is discussed on the identification of an industrial nonlinear plant.
Politics and Power in Multinational Companies: Integrating the International Business and Organization Studies Perspectives

The study of power and politics in multinational companies (MNCs) has been a niche area of study for both scholars of organization studies (OS) and international business (IB). Further, the awareness of each research community with regard to the efforts of the other has been rather superficial. Hence, bridge-building efforts to cross-fertilize ideas developed in IB and OS in order to enhance our understanding of the nature and role of politics and power in the MNC are overdue. In order to develop the basis for integration, we trace the conceptual developments in the two disciplines, that enables us to highlight particularly promising opportunities for integrative advances. Using a typology which differentiates among four ‘faces’ of power in the study of management and organization, we discuss how focusing on each of these four dimensions may help us to both see and make sense of different aspects of power relations and facets of politics in MNCs. We then use the ‘four faces’ framework to outline how OS and IB approaches can be integrated to develop a more complete understanding of politics and power in MNCs. Finally we suggest some directions for future research.
Detecting stealthy malware with inter-structure and imported signatures

Recent years have witnessed an increasing threat from kernel rootkits. A common feature of such attack is hiding malicious objects to conceal their presence, including processes, sockets, and kernel modules. Scanning memory with object signatures to detect the stealthy rootkit has been proven to be a powerful approach only when it is hard for adversaries to evade. However, it is difficult, if not impossible, to select fields from a single data structure as robust signatures with traditional techniques. In this paper, we propose the concepts of inter-structure signature and imported signature, and present techniques to detect stealthy malware based on these concepts. The key idea is to use cross-reference relationships of multiple data structures as signatures to detect stealthy malware, and to import some extra information into regions attached to target data structures as signatures. We have inferred four invariants as signatures to detect hidden processes, sockets, and kernel modules in Linux respectively and implemented a prototype detection system called DeepScanner. Meanwhile, we have also developed a hypervisor-based monitor to protect imported signatures. Our experimental result shows that our DeepScanner can effectively and efficiently detect stealthy objects hidden by seven real-world rootkits without any false positives and false negatives, and an adversary can hardly evade DeepScanner if he/she does not break the normal functions of target objects and the system.
High frequency full bridge converter using multilayer coreless printed circuit board step up power transformer

In designing switch mode power supply (SMPS), the desirable feature is to have an efficient and compact design. The main idea is to increase the switching frequency and reduce the bulky magnetic parts of the converter. This leads to a compact size, less weight, reduced cost and increased power density of the converter. This paper presents a high frequency full bridge DC to DC converter, using a multilayer coreless printed circuit board (PCB) step-up power transformer. The converter was simulated and also implemented on the PCB. The pulse width modulated (PWM) signals were generated, using a microcontroller, to switch the Metal oxide semiconductor field effect transistor (MOSFET). The design of the converter is tested up to the power levels of 5 Watts with the switching frequency in 2 to 3MHz range. The energy efficiency of the converter is 74.86% at 2.4 MHz.
Physics-Based Ball Tracking in Volleyball Videos with its Applications to Set Type Recognition and Action Detection

Despite a lot of research efforts in sports video processing, little work was done in volleyball video analysis due to the high density of players on the court and the complicated overlapping of player-player or ball-player, which lead to great complexity of object tracking for advanced analysis. For ball detection and trajectory extraction in volleyball videos, this paper presents a physics-based scheme which utilizes the motion characteristics to extract ball trajectory from lots of moving objects. The experiments of ball tracking show encouraging results. Moreover, based on game-specific properties, the ball trajectory can be exploited to recognize set types for tactics inference and to detect basic actions in the volleyball game for close-up presentation.
The Differential Diagnosis of ADHD

Diagnostic issues in ADHD are examined from two perspectives. Firstly the long-term outcome of ADHD is one indicator of predictive validity of the concept and of its importance. At the same time, the role of comorbid conditions is fundamental to the prognosis of children with ADHD and emphasises the need for thorough assessment and careful differential diagnosis. The range of adult sequelae of ADHD is so broad as to have major implications for the delineation of adult ADHD, and suggestions are made as to how it cannot just be seen as a direct translation of the childhood symptoms. Given the high genetic component to ADHD, our work in ATAP (the Australian Twin ADHD Project) is used to examine three issues in the diagnosis of ADHD, namely that it is inherited as a behavioural dimension, not as a discrete category that there is some genetic and behavioural independence of the Hyperactivity-Impulsivity and Inattention symptom clusters, and that ADHD should not be seen as a consequence of learning problems (or the reverse). Because the concept of ADHD has undergone so many revisions since 1980, there remains much scope for input to a more definitive formulation with particular reference to age and gender differences.
A tale of two outages: A study of the Skype network in distress

This work applies snack, a flow-based algorithm for detecting connections between clients and supernodes to the Skype network, to the study of two separate outages on the Skype network in August 2007 and December 2010. We examine both outages in detail, comparing them to each other, and to previous work on the first outage. We find that a simple metric derived from connection events per unique client as measured by snack acts as a proxy for the Skype network, and would have provided forewarning of the 2007 outage, and may have applicability as an indicator of general Skype network health. We also examine the faster onset of and recovery from the 2010 outage, discovering that the distribution of clients per supernode is a proxy measurement for network centralization, and detects the apparent present recovery strategy from such outages. These two metrics may be applied by any network operator to monitor the health of the Skype network.
The Good, Bad and the Indifferent: Explorations in Recommender System Health

Our work is based on the premise that analysis of the connections exploited by a recommender algorithm can provide insight into the algorithm that could be useful to predict its performance in a fielded system. We use the jumping connections model defined by Mirza et al. [6], which describes the recommendation process in terms of graphs. Here we discuss our work that has come out of trying to understand algorithm behavior in terms of these graphs. We start by describing a natural extension of the jumping connections model of Mirza et al., and then discuss observations that have come from our studies, and the directions in which we are going.
Sentinel lymph node mapping in early stage of endometrial and cervical cancers

Background: The sentinel lymph node (SLN) is defined as the first chain node in the lymphatic basin that receives primary lymphatic flow. If the SLN is negative for metastatic disease, then other nodes are expected to be disease-free. SLN techniques have been extensively applied in the staging and treatment of many tumors, including melanoma, breast and vulvar cancers. This study aims to evaluate our technique in SLN mapping in early stage endometrial and cervical cancers. Materials and Methods: We scheduled a cross-sectional pilot study for patients undergoing staging surgery for endometrial and cervical cancer from November 2012 to February 2014 in Beheshti and Sadoughi Hospitals. Our SLN mapping technique included 1 h preoperative or intraoperative injection of 4 ml of 1% methylene blue dye in the tumor site. At the time of surgery, blue lymph nodes were removed and labeled as SLNs. Then systematic lymph node dissection was completed, and all of the nodes were sent for pathologic examination concerning metastatic involvement. All of the sentinel nodes were first stained with hematoxylin and eosin and examined. Those negative in this study were then stained with immunohistochemistry using anti-keratin antibody. Descriptive statistics, sensitivity, negative predictive values (NPV), false negative (FN) and detection rates were calculated. Results: Twenty-three patients including 62% endometrial and 38% cervical cancers enrolled in the study. Median of SLN count in the endometrial and cervical cancers was 3 and 2, respectively. Among endometrial and cervical cancers, detection rate of metastatic disease was 80% and 87.5%, respectively. The FN rate for this technique was 0 and the sensitivity and NPV are 100% for both endometrial and cervical cancers. Conclusion: Considering the lower risk of metastases in early stage of both endometrial and cervical cancers, SLN technique allows for confident and accurate staging of cancer.
Challenges and Current Efforts in the Development of Biomarkers for Chronic Inflammatory and Remodeling Conditions of the Lungs

This review discusses biomarkers that are being researched for their usefulness to phenotype chronic inflammatory lung diseases that cause remodeling of the lung's architecture. The review focuses on asthma, chronic obstructive pulmonary disease (COPD), and pulmonary hypertension. Biomarkers of environmental exposure and specific classes of biomarkers (noncoding RNA, metabolism, vitamin, coagulation, and microbiome related) are also discussed. Examples of biomarkers that are in clinical use, biomarkers that are under development, and biomarkers that are still in the research phase are discussed. We chose to present examples of the research in biomarker development by diseases, because asthma, COPD, and pulmonary hypertension are distinct entities, although they clearly share processes of inflammation and remodeling.
Neuroenergetics Original Research Article

during neuronal activity has been shown both during fl icker stimuli in cat optic nerve (Buerk et al., 1996) and during fore-paw stimuli in rat somatosensory areas (Buerk et al., 2003). There are mainly two hypotheses that are used to explain brain hemo-dynamics in terms of these vasodilators (Estrada and DeFelipe, 1998; Riera et al., 2008). According to the fi rst hypothesis, namely the metabolic hypothesis, local CBF increase is a result of several vasodilators such as CO 2 , K + and adenosine which are the metabolic products of neuronal activation (Estrada and DeFelipe, 1998). Whereas according to the second hypothesis, the neurogenic hypothesis, local CBF is maintained via vasodilator neurotransmit-ters that are 'synaptic products' released by the neurons as a result of neuronal activation (Estrada and DeFelipe, 1998; Riera et al., 2008). However, recent studies have shown that the coexistence of both neurogenic and metabolic factors is needed to regulate cerebral perfusion (Ito et al., 2005; Riera et al., 2008). In this study we aim to compare the relative importance of these two neurov-ascular coupling hypotheses in producing changes in CBF, blood volume, and oxygenation. Brain hemodynamics is intensely studied using different neu-roimaging modalities such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and optical imaging. Each one of these modalities provides valuable insight into specifi c components of neurovascular coupling. Recent work in neuroimaging studies demonstrates that not only integration of multiple neuroimaging modalities is required, but that mathematical modeling is necessary to understand the complex physiology underlying neurovascular coupling. There are numerous models aiming to explain either the vascular or the
Buffer-Stock Saving and the Life Cycle/Permanent Income Hypothesis

This paper argues that the typical household's saving is better described by a traditional version of the Life Cycle/Permanent Income Hypothesis (LC/PIH) model. Buffer-stock behavior emerges if consumers with important income uncertainty are sufficiently impatient. In the traditional model, consumption growth is determined solely by tastes; in contrast, buffer-stock consumers set average consumption growth equal to average labor income growth, regardless of tastes. The model can explain three empirical puzzles: the [1991]; the the 1930's; and the temporal stability of the household age/wealth profile despite the unpredictability of idiosyncratic wealth changes.
A Study of Burnout among Faculty at Fullerton College.

ix Chapter 1: Introduction . 1 Statement of the Problem . 5 Purpose of the Study . 6 Research Questions . 7 Significance of the Study . 7 Assumptions and Limitations of the Study . 8 Definition of Terms.9 Organization of the Study . 11 Chapter 2: Literature Review . 13 Definitions of Burnout . 13 Symptoms . 18 Factors That Contribute to Burnout . 24 Age. 26 Gender. 27 Education. 29 Length of employment. 29 Number of years in the present position. 29 Marital status. 30 Dependent children. 30 Tenure or promotion status. 31 Health status. 31 Ethnicity. 32 Pay scale.32 General Intrinsic and Extrinsic Job Satisfaction . 32 Extrinsic job satisfaction. 33 Intrinsic job satisfaction. 33 How Is Burnout Measured? 33 The tedium scale. 34 The staff burnout scale. 34 MBI. 35 Burnout in Higher Education . 38 Conclusion . 51
How Transferable is German Apprenticeship Training

Both the effectiveness of German Apprenticeship Training (GAT) and the reasons why firms voluntarily subsidise it hinge on how transferable it is. Describing the regulations surrounding GAT and examining the effects of post-apprenticeship mobility on wages and skill use using German panel data, we show that GAT is transferable within a broad vocational field (e.g. a 1-digit occupational group). This suggests that work-based routes to skills can be effective and provides a rationale for the finding that German firms are more likely to offer apprenticeship training when there are fewer local firms operating in the same industry.
Effects of partial cuts on gastric electrical control activity and its computer model.

SARNA, S. K. , E. E. DANIEL, AND Y.J. KINGMA. Effects ofpartial cuts on gastric electrical control actiuity and its computer model. Am. J. Physiol. 223(Z) : 332-34-O. 1972. -The effects of a variety of partial circumferential and longitudinal cuts of gastric muscle of anesthetized dogs on its electrical control activity and in a gastric computer model are described. The effects of these cuts on the phase lags between proximal and distal control waves and on the entrainment of distal oscillators indicate that the longitudinal coupling is strong near the greater curvature and throughout the antrum. The strength of coupling was assessed by determining the minimum amounts of muscle required to cause phase-locking between proximal and distal oscillators. This coupling is weak on the midline and near the lesser curvature in the body of the stomach. The transverse component of the coupling is strong in the antrum. A comparison of the magnitudes of transverse couplings in the antrum and in the body could not be made. The results of simulated partial cuts in a gastric computer model using similar coupling strengths resembled those observed in the dog stomach. The study adds further support to the contention that an array of bidirectionally coupled relxation oscillators is an appropriate model of the gastric electrical control activity.
Generic Visual Recognition on Non-Uniform Distributions Based on AdaBoost Codebooks

In recent years, much research has been devoted to the visual codebook based texture analysis and image recognition due to its robustness against affine transformation and illumination variation. Our focus in this research is not on whether the texture analyzer algorithm by the affine invariable descriptors of local patches follows a codebook constructed by k-means clustering, but rather on introducing a nonparametric vector quantization method based on mean shift, and utilization of locality-sensitive hashing. In order to provide an efficient nearest neighbor search in the mean-shift kernel function, locality-sensitive hashing is applied. Furthermore, a set of experiments in several image classification tasks are conducted to demonstrate the performance of the proposed method. These experiments also show the proposed method can further improve the performance of overall classification utilizing multiclass AdaBoost.
TouchPlanVS lite: a tablet-based tangible multitouch planning system for virtual TV studio productions

This paper presents a mobile approach of integrating tangible user feedback in today's virtual TV studio productions. We describe a tangible multitouch planning system, enabling a single user to prepare and customize scene flow and settings. Users can view and interact with virtual objects by using a tangible user interface on a capacitive multitouch surface. In a 2D setting created TV scenes are simultaneously rendered as separate view using a production/target renderer in 3D. Thereby the user experiences a closer reproduction of a final production and set assets can be reused. Subsequently, a user can arrange scenes on a timeline while maintaining different versions/sequences. The system consists of a tablet and a workstation, which does all application processing and rendering. The tablet is just an interface connected via wireless LAN.
Multi-way Clustering for Heterogeneous Information Networks with General Network Schema

Clustering analysis is an effective method to understand the semantic information and interpretable structure of the heterogeneous information networks. However, most studies assume that the heterogeneous information networks usually follow some simple schemas, such as bi-typed network and star network schema. In this paper, we propose a multi-way clustering framework for heterogeneous information networks with general network schema, which can cluster multiple types of objects simultaneously. The types of objects and relations in the heterogeneous information networks are modeled as a multi-way array, i.e., tensor. Based on the nonnegative tensor decomposition, we partition different types of objects into different clusters simultaneously. The experimental results on both synthetic datasets and real-world dataset show that our proposed clustering framework can deal with the heterogeneous information networks well, and outperforms the state-of-the-art clustering algorithms.
Fluctuating loops and glassy dynamics of a pinned line in two dimensions.

We represent the slow, glassy equilibrium dynamics of a line in a two-dimensional random potential landscape as driven by an array of asymptotically independent two-state systems, or loops, fluctuating on all length scales. The assumption of independence enables a fairly complete analytic description. We obtain good agreement with Monte Carlo simulations when the free energy barriers separating the two sides of a loop of size L are drawn from a distribution whose width and mean scale as L^(1/3), in agreement with recent results for scaling of such barriers.