Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a Decision Model for Master Data Application Architecture

Requirements such as integrated view of the customer or global business process integration make enterprise wide management of master data a prerequisite for achieving business goals. The master data application architecture, as a part of enterprise master data management, plays a critical role in enterprises. Choosing the right master data application architecture is a controversial subject in many enterprises. Unfortunately, the current state of the art in research does not provide sufficient guidance for enterprises dealing with this subject. The paper aims at overcoming this gap in research by presenting a decision model for supporting enterprises in the decision-making process regarding the choice of the right master data application architecture. To design the model, Multiple-Criteria Decision Analysis and Design Science Research Methodology were applied.
Single view reconstruction based on marker and geometric constraints

This paper proposes an efficient method for a single image reconstruction based on marker and geometric constraints. Because most of the man-made buildings look like the right prism, we just need to concentrate on the work that how to perfectly reconstruct the right prism. Here we use a calibrated camera and don't concern the lens distortion. In our system, first we build the world coordinate system based on the marker. Second, we get the projection matrix between the scene and the image. Finally, the 3D points can be obtained in three steps: reconstructing the visible points, optimizing the model and recovering the invisible points. Extensive experiments on the cube and the pentagonal prism demonstrate our approach.
On the Formal Modeling of Inductive Verification for Cryptographical Protocols

This paper addresses a formal modeling issue in the inductive verification approach for crypto graphical protocols. In the formalization of the inductive semantics of a protocol, the knowledge of an agent over a trace is not faithful to the intuition of the inductive approach to formally model a protocol. We find that the agent does not know the fresh items which he originates if the item is encrypted by a public key which he do not hold. We present a novel formal characterization of traces to solve the problem.
Economic Liberalization and the Empowerment of Gays and Lesbians in India

ii ACKNOWLEDGEMENTS This thesis would not have been possible without the support of my family, friends and professors to whom I am deeply indebted. brilliance are contagious. I am afraid you have spoiled me with all the attention you give me and my work – I find it so flattering that someone as talented and busy as each of you, has spent all this time and effort on my undergraduate thesis. I consider myself really fortunate to have met you and to have spent my undergraduate years under your guidance. You mean the world to me. Mummy & Papa: Thank you so much for always being proud of me, for supporting me, for loving me as much as you do! Alok (brother and role model): While I may not say it or show it, I am hugely proud of who you are and what you do. You have mentored me every step of the way, and I always seek your stamp of approval. Thank you so much! Ashley Hanson (library mentor): Thank you, Ashley, for helping me through my research, always responding promptly, and patiently answering my questions. Nora, Caite & Nicole (my feminist network of support): You are an inspiration, a tremendous force that has helped me remain hopeful throughout this endeavor. I would like to thank my friends Anne and Crookie for their relentless support and encouragement over this last year. I am also grateful to the participants of my research, for filling out the survey, for sharing their stories with me, and for helping me keep things in perspective. Finally, I am thankful to the Economics and Gender & Women's Studies Departments and the Center for International Studies and the Liberal Arts (CISLA), who awarded me research grants to enable my travels to India. iii ABSTRACT Economic liberalization in India has transformed Indian gay identity. The information revolution and expansion of employment in high-paying jobs have brought about significant changes in the economic independence of the youth in urban parts of the country. Improved economic opportunity strengthens the fall-back position of many young gays and lesbians, in so far as they are better equipped to locate their sexuality within the Indian context. Drawing on feminist and queer theory, I hypothesize that economic liberalization has contrasting effects on the autonomy, freedom and bargaining power of middle class gays and lesbian young adults. I contribute to the research on …
Measuring Soil Water Content with Ground Penetrating Radar: A Review

We present a comprehensive review of methods to measure soil water content with ground penetrating radar (GPR). We distinguish four methodologies: soil water content determined from reflected wave velocity, soil water content determined from ground wave velocity, soil water content determined from transmitted wave velocity between boreholes, and soil water content determined from the surface reflection coefficient. For each of these four methodologies, we discuss the basic principles, illustrate the quality of the data with field examples, discuss the possibilities and limitations, and identify areas where future research is required. We hope that this review will further stimulate the community to consider ground penetrating radar as one of the possible tools to measure soil water content.
Loss of gene function and evolution of human phenotypes

Humans have acquired many distinct evolutionary traits after the human-chimpanzee divergence. These phenotypes have resulted from genetic changes that occurred in the human genome and were retained by natural selection. Comparative primate genome analyses reveal that loss-of-function mutations are common in the human genome. Some of these gene inactivation events were revealed to be associated with the emergence of advantageous phenotypes and were therefore positively selected and fixed in modern humans (the “less-ismore” hypothesis). Representative cases of human gene inactivation and their functional implications are presented in this review. Functional studies of additional inactive genes will provide insight into the molecular mechanisms underlying acquisition of various human-specific traits. [BMB Reports 2015; 48(7): 373-379]
Recalibration of the Multisensory Temporal Window of Integration Results from Changing Task Demands

The notion of the temporal window of integration, when applied in a multisensory context, refers to the breadth of the interval across which the brain perceives two stimuli from different sensory modalities as synchronous. It maintains a unitary perception of multisensory events despite physical and biophysical timing differences between the senses. The boundaries of the window can be influenced by attention and past sensory experience. Here we examined whether task demands could also influence the multisensory temporal window of integration. We varied the stimulus onset asynchrony between simple, short-lasting auditory and visual stimuli while participants performed two tasks in separate blocks: a temporal order judgment task that required the discrimination of subtle auditory-visual asynchronies, and a reaction time task to the first incoming stimulus irrespective of its sensory modality. We defined the temporal window of integration as the range of stimulus onset asynchronies where performance was below 75% in the temporal order judgment task, as well as the range of stimulus onset asynchronies where responses showed multisensory facilitation (race model violation) in the reaction time task. In 5 of 11 participants, we observed audio-visual stimulus onset asynchronies where reaction time was significantly accelerated (indicating successful integration in this task) while performance was accurate in the temporal order judgment task (indicating successful segregation in that task). This dissociation suggests that in some participants, the boundaries of the temporal window of integration can adaptively recalibrate in order to optimize performance according to specific task demands.
Development and Application of a Novel SPE-Method for Bioassay-Guided Fractionation of Marine Extracts

The biological diversity of marine habitats is a unique source of chemical compounds with potential use as pharmaceuticals, cosmetics and dietary supplements. However, biological screening and chemical analysis of marine extracts pose specific technical constraints and require adequate sample preparation. Here we report an improved method on Solid Phase Extraction (SPE) to fractionate organic extracts containing high concentration of salt that hampers the recovery of secondary metabolites. The procedure uses a water suspension to load the extracts on a poly(styrene-divynylbenzene)-based support and a stepwise organic solvent elution to effectively desalt and fractionate the organic components. The novel protocol has been tested on MeOH-soluble material from three model organisms (Reniera sarai, Dendrilla membranosa and Amphidinium carterae) and was validated on a small panel of 47 marine samples, including sponges and protists, within discovery programs for identification of immuno-stimulatory and anti-infective natural products.
The Impact of Corporate Ownership on Residential Transaction Prices

A perception exists in the appraisal and brokerage industry that houses sold by corporate relocation firms (or corporate employers) sell at a discount in the residential market. The purpose of this article is to empirically determine if corporately owned houses do sell at a discount. A sample of 278 residential transactions in one community is used in a hedonic pricing model to test the hypothesis. The results indicate that corporate properties sold at a discount of nearly 5%.
Association Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction

Background Little is known regarding the relationship between hospital performance on adverse event rates and hospital performance on 30‐day mortality and unplanned readmission rates for Medicare fee‐for‐service patients hospitalized for acute myocardial infarction (AMI). Methods and Results Using 2009–2013 medical record‐abstracted patient safety data from the Agency for Healthcare Research and Quality's Medicare Patient Safety Monitoring System and hospital mortality and readmission data from the Centers for Medicare & Medicaid Services, we fitted a mixed‐effects model, adjusting for hospital characteristics, to evaluate whether hospital performance on patient safety, as measured by the hospital‐specific risk‐standardized occurrence rate of 21 common adverse event measures for which patients were at risk, is associated with hospital‐specific 30‐day all‐cause risk‐standardized mortality and unplanned readmission rates for Medicare patients with AMI. The unit of analysis was at the hospital level. The final sample included 793 acute care hospitals that treated 30 or more Medicare patients hospitalized for AMI and had 40 or more adverse events for which patients were at risk. The occurrence rate of adverse events for which patients were at risk was 3.8%. A 1% point change in the risk‐standardized occurrence rate of adverse events was associated with average changes in the same direction of 4.86% points (95% CI, 0.79–8.94) and 3.44% points (95% CI, 0.19–6.68) for the risk‐standardized mortality and unplanned readmission rates, respectively. Conclusions For Medicare fee‐for‐service patients discharged with AMI, hospitals with poorer patient safety performance were also more likely to have poorer performance on 30‐day all‐cause mortality and on unplanned readmissions.
Lactational programming? mother's milk energy predicts infant behavior and temperament in rhesus macaques (Macaca mulatta)

There are many aspects of “mothering” that may provide information to the mammalian infant about environmental conditions during critical periods of development. One essential element of mothering involves the quantity and quality of milk that mothers provide for their infants, but little is known about the consequences of variation in milk production. Mother's milk may affect infant behavior by contributing to brain development and to the development of behavioral dispositions. Here we present the first evidence for any mammal that natural variation in available milk energy (AME) from the mother is associated with later variation in infant behavior and temperament in rhesus macaques (Macaca mulatta, N=59). In the early postnatal period, heavier mothers with more reproductive experience produced greater AME, which is the product of milk energy density (kcal/g) and milk yield (g). Moreover, infants whose mothers produced greater AME in the early postnatal period showed higher activity levels and greater confidence in a stressful setting later in infancy. Our results suggest that the milk energy available soon after birth may be a nutritional cue that calibrates the infant's behavior to environmental or maternal conditions. These data provide new insight into potential mechanisms for the development of behavior and temperament and illuminate new directions for investigating maternal effects, nutritional programming, and developmental plasticity. Am. J. Primatol. 72:522–529, 2010. © 2010 Wiley‐Liss, Inc.
Neural-Based Quality of Service Estimation in MPLS Routers

The Multiprotocol Label Switching (MPLS) is being considered as one possible approach for scalable Quality of Service (QoS) provisioning in the Internet. As MPLS is standardized by Internet Engineering Task Force (IETF) and is expected to be implemented in the near future, we address in this paper the issue of QoS estimation in a MLPS router fed with bursty traffic by means of a neural network. The latter is trained to anticipate the average delay and the packet loss rate (PLR) within the MPLS node for each class of service, given the mean rates, the peak rates and the coefficients of variation of the packet inter-arrival time of the incoming traffic flows. The potential of this method was successfully illustrated on small queueing networks made up from a combination of queues in tandem and in parallel [2,3], we now focus our attention on a more sophisticated MPLS switching device. Our long-term goal aims at coupling our optimization algorithms used for MPLS traffic engineering tasks with several neural networks responsible for the QoS estimations, instead of the standard but erroneous M/M/1 approximation. Keyword: Neural networks, B-ISDN networks, Multiprotocol Label Switching, traffic control, queueing systems.
Tenascin-C Promotes Neurite Outgrowth of Embryonic Hippocampal Neurons through the Alternatively Spliced Fibronectin Type III BD Domains via Activation of the Cell Adhesion Molecule F3/Contactin

Tenascin-C is a multimodular glycoprotein that possesses neurite outgrowth-stimulating properties, and one functional site has been localized to the alternatively spliced fibronectin type III domain D. To identify the neuronal receptor that mediates this effect, neighboring pairs of fibronectin type III domains were expressed as hybrid proteins fused to the Fc fragment of human immunoglobulin. These IgFc fusions were tested for neurite outgrowth-promoting properties on embryonic day 18 rat hippocampal neurons, and both the combinations BD and D6 were shown to promote the elongation of the longest process, the prospective axon. Antibodies to the cell adhesion molecule F3/contactin of the Ig superfamily blocked the BD- but not the D6-dependent effect. Biochemical studies using F3/contactin–IgFc chimeric proteins confirmed that the adhesion molecule selectively reacts with the combination BD but not with other pairs of fibronectin type III repeats of tenascin-C. The alternatively spliced BD cassettes are prominently expressed in the developing hippocampus, as shown by reverse transcription PCR, and colocalize with F3 expression during perinatal periods when axon growth and the establishment of hippocampal connections take place. We conclude that F3/contactin regulates axon growth of hippocampal neurons in response to tenascin-C.
From collaborative heroes to collaboration as a culture: the importance of internal collaborative skills for sustained collective action.

Jenny Höckert, Magnus Ljung and Nadarajah Sriskandarajah Department of Urban and Rural Development, Unit of Environmental Communication, Swedish University of Agricultural Sciences, Uppsala, Sweden jenny.hockert@sol.slu. se; magnus.ljung@adm.slu. se; Nadarajah.Sriskandarajah@sol.slu. se Abstract: This paper discusses the emerging responses among Swedish agricultural advisory organisations to farmers’ demands for a whole‐farm approach to extension. A case study approach was taken focused on three extension organisations in Sweden and their conscious ambitions to change their way of working. The cases reflect the opportunities and pitfalls when developing collaboration on all organisational levels, from the individual to the inter‐organisational. The empirical findings have been reflected on from the theoretical perspective of how to develop a collaborative culture in organisations. In the paper we describe their experiences of collaboration between individuals, in work teams and inter‐organisational – an experience that in two of the cases ended up in a fusion and building of a new advisory firm. The paper seeks to analyse what appears to be the constraints facing farm production advisors and their organisations in processes of internal and external collaboration. We argue that one of the main reasons why the farm production advisors do not become as active as they potentially could be in the sphere of business and rural development is that they and their organisations lack a collaborative culture. One conclusion is that in order to be a trustworthy partner for external collaboration and to be able to initiate processes of collective action, one must first build up a well‐ functioning collaboration on individual, team‐based and organisational level.
3D Facial expression recognition based on basic geometric features

This paper describes a 3D facial expression recognition approach based on distance and angle features, which can be got from the localized facial feature points. The probabilistic Neutral Network (PNN) architecture is used to classify the facial expressions based on BU-3DFE database. This paper adds the facial feature vectors with the information of slopes and the angles as the feature vectors got from the facial feature points, not only the distance information mentioned in the previous work. Thus it receives a better performance with an average recognition rate of 90.2%.
Motion Parameter Estimation of Doppler-Ambiguous Moving Targets in SAR-GMTI

In an along-track interferometric SAR system, the discrete sampling of moving target signals can give rise to two types of ambiguity: Doppler ambiguity, and interferometric angle ambiguity. These ambiguities lead to ambiguities in target velocity estimation. Range cell migration of moving targets is unambiguous in target velocity. Hence, it can be used for resolving the ambiguities in target velocity estimation mentioned above. The wave number domain algorithm as well as the chirp scaling algorithm is adapted to moving target signals. In order to focus moving target signals with arbitrary velocities both approaches are extended to arbitrary Doppler frequency ands. Moving target signals distributed over two neighbouring PRF bands are especially difficult to detect and analyze because the sgnal splits into two parts. It is shown that the two parts appear at different positions in the SAR image and have different ATI phases. They show up as two weaker targets since the energy is split between them. It is demonstrated how the two targets can be identified as possibly the same target, and how they can be properly focussed by adaptation of the SAR focussing algorithms.
Cloud Security : Attacks and Current Defenses

 Abstract—This paper presents a high-level classification of current research in cloud computing security. Unlike past work, this classification is organized around attack strategies and corresponding defenses. Specifically, we outline several threat models for cloud computing systems, discuss specific attack mechanisms, and classify proposed defenses by how they address these models and counter these mechanisms. This examination highlights that, while there has been considerable research to date, there are still major threats to cloud computing systems, such as potential infrastructure compromise, that need to be better addressed.
Entanglement assisted classical capacity of compound quantum channels

We consider the task of entanglement assisted message transmission under presence of a compound memoryless quantum channel. In this model, the completely positive and trace preserving map governing the channel statistics is, instead of being perfectly known, only revealed as member of a certain set of channels. Therefore, coding schemes have to be used which are simultaneously reliable for each member of this set. Utilizing universal codes for classical-quantum channels, we introduce optimal universal coding schemes for entanglement assisted message transmission of compound quantum channels. The resulting coding theorem together with a corresponding converse statement leads us to a single-letter expression for the entanglement assisted message transmission capacity of compound quantum channels.
On-line 3D gesture recognition utilising dissimilarity measures

In the field of Human-Computer Interaction (HCI), gesture recognition is becoming increasingly important as a mode of communication, in addition to the more common visual, aural and oral modes, and is of particular interest to designers of Augmentative and Alternative Communication (AAC) systems for people with disabilities. A complete microcomputer system is described, GesRec3D, which facilitates the data acquisition, segmentation, learning, and recognition of 3-Dimensional arm gestures. The gesture data is acquired from a Polhemus electro-magnetic tracker system, where sensors are placed on the finger, wrist and elbow of one arm. Coded gestures are linked to user-defined text, to be typed or spoken by a text-to-speech engine, which is integrated into the system. A segmentation method and an algorithm for classification are both presented, which includes acceptance/rejection thresholds based on intra-class and inter-class dissimilarity measures. Results of recognition hits, confusion misses and rejection misses are given for two experiments, involving predefined and arbitrary 3D gestures. Index terms
Test results of a precise, short range, RF navigational/positional system

A navigational system that has a range of several miles and an accuracy of several inches has been developed at the University. Several positions are calculated every second and the system can be used for navigating vehicles or for finding positions. The system achieves a fix by measuring the range to two or three stationary beacons, and is classified as a range/range system. A description is given of the system, its limitations, and its potential impact on industries such as surveying, open pit mining, and farming. <<ETX>>
Consumption Takes Time: Implications for Economic Theory

Standard economic theory of consumer behaviour considers consumers' preferences, their incomes and commodity prices to be the determinants of consumption. However, consumption takes time and no consumer has more - or less - than 168 hours per week. This simple fact is almost invisible in standard theory, and takes the centre stage in this book.