Miracle-dz/UniFAR-FTUs huggingface dataset:
Blind Transmission and Detection Designs With Unique Identification and Full Diversity for Noncoherent Two-Way Relay Networks

This paper considers blind detection for a two-way relay system in which two source nodes exchange information with each other via a relay node using an amplify-and-forward (AF) protocol. The channel coefficients are assumed to be nonreciprocal, i.e., the channel gain between two nodes is not identical to that in the reverse link between the same nodes. An effective signaling and transmitting scheme using four M-ary phase-shift keying (M-PSK) constellation sets is proposed to achieve a unique identification of the transmitted symbols and the channel coefficients in a noise-free transmission. Blind receivers with full diversity are derived for Rayleigh fading channels with Gaussian noise by the generalized likelihood ratio test (GLRT) and least squares error (LSE) criteria. Constellation selections are investigated for the source nodes to transmit at a uniform bit rate in each time slot. Power-allocation schemes are discussed to improve further the average error probability of the source nodes in the blind detection. Simulation results are provided to validate the proposed designs.
Transnational spaces and everyday lives

This paper discusses some of the limitations of the global city hypothesis, in particular its economistic tendencies, the suppression of political and cultural domains, and the underdevelopment of human agency and everyday life. It tries to establish more fully the identities of global subjects. Examining two sets of global actors, transnational businessmen and cosmopolitan professionals, it argues that the expansive reach and mastery imputed to global subjects, their flight from the particular and the partisan, their dominance and freedom from vulnerability, are far from complete. The separation of the global and the local and the ascription of mobility and universalism to the global and stasis and parochialism to the local is an oversimplification, for an optic of transnational global spaces should not conceal the intersecting reality of circumscribed everyday lives.
Benefiting From Alliance Portfolio Diversity

The perspective in alliance research has shifted from the individual dyad to alliance portfolios; a key descriptor of a firm’s alliance portfolio is diversity. Focusing on firms that are confronted with emerging technological fields, the authors examine the consequences of their alliance portfolio’s technological diversity on superior product innovation. The literature has not been conclusive about the consequences of portfolio diversity. The authors examine the nature of the effect of portfolio diversity on superior product innovation and follow up on the call for a contingency perspective—as not all firms benefit equally from portfolio diversity. The contingency perspective is based on the assertion that a firm’s past strategies in internal knowledge creation are a source of experiences that increase the firm’s capability to leverage extramural knowledge. Theoretically, the study thus contributes to the absorptive capacity literature that has recently acknowledged the importance of such higher-order internal capabilities. By identifying concrete dimensions of internal knowledge creation that enable firms to benefit from portfolio diversity, actionable recommendations are derived on how to align internal knowledge creation with external knowledge sourcing. The empirical support in the biopharmaceutical industry corroborates the developed theory and serves as a warning signal for firms that are ill prepared to leverage a diverse alliance portfolio.
Predicting the Optimal Basal Insulin Infusion Pattern in Children and Adolescents on Insulin Pumps

OBJECTIVE We aimed at developing and cross-validating a mathematical prediction model for an optimal basal insulin infusion pattern for children with type 1 diabetes on continuous subcutaneous insulin infusion therapy (CSII). RESEARCH DESIGN AND METHODS We used the German/Austrian DPV-Wiss database for quality control and scientific surveys in pediatric diabetology and retrieved all CSII patients <20 years of age (November 2009). A total of 1,248 individuals from our previous study were excluded (dataset 1), resulting in 6,063 CSII patients (dataset 2) (mean age 10.6 ± 4.3 years). Only the most recent basal insulin infusion rates (BRs) were considered. BR patterns were identified and corresponding patients sorted by unsupervised clustering. Logistic regression analysis was applied to calculate the probabilities for each BR pattern. Equations were based on both independent datasets separately, and probabilities for BR patterns were cross-validated using typical test patients. RESULTS Of the 6,063 children, 5,903 clustered in one of four major circadian BR patterns, confirming our previous study. The oldest age-group (mean age 12.8 years) was represented by 2,490 patients (42.18%) with a biphasic dawn-dusk pattern (BC). A broad single insulin maximum at 9–10 p.m. (F) was unveiled by 853 patients (14.45%) (mean age 6.3 years). Logistic regression analysis revealed that age, to a lesser extent duration of diabetes, and partly sex predicted BR patterns. Cross-validation revealed almost identical probabilities for BR patterns BC and F in the two datasets but some variation in the remaining two BR patterns. CONCLUSIONS Reconfirmation of four key BR patterns in two very large independent cohorts supports that these patterns are realistic approximations of the circadian distribution of insulin needs in children with type 1 diabetes. Prediction of an optimal pattern a priori can improve initiation and clinical follow-up of CSII in children and adolescents. In addition, these BR patterns represent valuable information for insulin-infusion algorithms in closed-loop CSII.
Short Message Discussions: On The Conversational Nature Of Microblogging In A Large Consultancy Organisation

With the rise of Twitter Microblogging as a phenomenon has gained widespread popularity. As with other social software (e.g. Wikis), organisations have begun experimenting with the application of Microblogging for facilitating internal communication and group processes. However, research on the topic is still in its infancy. In this paper we explore how Yammer, a Twitter-like platform, has been adopted within Capgemini, a large, globally operating consultancy business. In contrast to existing findings on Twitter usage and other Enterprise Microblogging (EMB) cases, we find that EMB in our case is a predominantly conversational medium, where people interact with each other explicitly. Rather than using the platform to inform others about themselves (Twitter) or, about their immediate task/team context as has been described in other EMB cases, the Yammer users in this case are expressing views, discussing opinion and responding to each other. We discuss these results in light of the particular organisational context of the case and the emergent nature of communication technologies. We further demonstrate how the interactive and conversational nature of short message communications has led us to investigate the classification of Microblogging according to the context of its use. We conclude that the appropriation of Enterprise Microblogging is shaped largely by the characteristics of the organisational context in which it is used and propose a model that supports this.
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications

We explore a novel paradigm in learning binary codes for large-scale image retrieval applications. Instead of learning a single globally optimal quantization model as in previous approaches, we encode the database points in a data-specific manner using a bank of quantization models. Each individual database point selects the quantization model that minimizes its individual quantization error. We apply the idea of a bank of quantization models to data independent and data-driven hashing methods for learning binary codes, obtaining state-of-the-art performance on three benchmark datasets.
Preclinical evaluation of the pharmacokinetics, biodistribution, and elimination of MS-325, a blood pool agent for magnetic resonance imaging.

RATIONALE AND OBJECTIVES The authors evaluate MS-325, a new albumin-targeted magnetic resonance imaging (MRI) contrast agent, for its pharmacokinetics, biodistribution, and elimination characteristics in multiple animal species. METHODS Studies were performed in rats, rabbits, and nonhuman primates at intravenous doses ranging from 0.025 to 0.20 mmol/kg. Concentrations of MS-325 in blood, urine, feces, and organs were determined using gadolinium-153-labeled MS-325 and gamma counting or by using non-labeled MS-325 and inductively coupled plasma atomic emission spectrometry. RESULTS In rabbits and nonhuman primates, MS-325 is approximately 85% to 95% bound to serum proteins and, as a result, exhibits low volume of distribution (Vd) values, 0.11 to 0.14 L/kg, and a long elimination half-life (Te1/2), 2 to 3 hours. Some dose-dependence in the parameters is apparent in rabbits. MS-325 is eliminated primarily through the renal system in non-human primates. In contrast, the behavior of MS-325 in rats is different, exhibiting increased biliary excretion, a larger Vd value, and a shorter Te1/2. CONCLUSIONS The pharmacokinetics and elimination profile of MS-325, including vascular retention and renal excretion, are favorable for use in humans as an intravascular contrast agent for MRI.
Multihop sensor network design for wide-band communications

This paper presents a master/slave cellular-based mobile ad hoc network architecture for multihop multimedia communications. The proposed network is based on a new paradigm for solving the problem of cluster-based ad hoc routing when utilizing existing wireless local area network (WLAN) technologies. The network architecture is a mixture of two different types of networks: infrastructure (master-and-slave) and ad hoc. In this architecture, the participating slave nodes (SNs) in each cluster communicate with each other via their respective master nodes (MNs) in an infrastructure network. In contrast to traditional cellular networks where the base stations are fixed (e.g., interconnected via a wired backbone), in this network the MNs (e.g., base stations) are mobile; thus, interconnection is accomplished dynamically and in an ad hoc manner. For network implementation, the IEEE 802.11 WLAN has been deployed. Since there is no stationary node in this network, all the nodes in a cluster may have to move together as a group. However, in order to allow a mobile node to move to another cluster, which requires changing its point of attachment, a handoff process utilizing Mobile IP version 6 (IPv6) has been considered. For ad hoc routing between the master nodes (i.e., MNs), the Ad hoc On-demand Distance Vector (AODV) Routing protocol has been deployed. In assessing the network performance, field test trials have been carried out to measure the proposed network performance. These measurements include packet loss, delays under various test conditions such as a change of ad hoc route, handoffs, etc.
Performance comparison between single wall carbon nanotube bundle and multiwall carbon nanotube for global interconnects

Multi-wall carbon nanotubes (MWNTs) have potentially provided an attractive solution over single-wall carbon nanotube (SWNT) bundles at deep sub-micron level very large scale integration (VLSI) technologies. This paper presents a comprehensive analysis of propagation delay for both MWNT and SWNT bundles at different interconnect lengths (global) and shows a comparison of area for equivalent number of SWNTs in bundle and shells in MWNTs. It has been observed that irrespective of the type of CNTs, propagation delay increases with interconnect lengths. For same propagation delay performance, the area occupied by SWNT bundle is more than the MWNTs for a specified interconnect length.
MAP Selection Algorithms Based on Future Movement Prediction Capability in Synthetic and Realistic Environment

Efficient mobility management involves micromobility principles. The performance of the Hierarchical Mobile IPv6 (HMIPv6) protocol, a representative micro-mobility approach, is affected by the Mobility Anchor Point (MAP) selection. In this paper, we propose a new selection method based on a prediction of the future movements of Mobile Nodes (MNs). The proposed algorithms exploit the information about the future availability of MAPs and choose those MAPs that assure a better service. An improvement to the evaluation methodology is also proposed. The algorithms are compared to each other not only in synthetic but also in realistic internet topologies, which has not been a practice in the past. The simulation results show promising improvements in terms of distance from chosen MAPs and frequency of MAP changes. Moreover, we showed that, for perceivable improvement of MAP selection, absolute accuracy of movement prediction is not required. As pioneers in the mobility management analysis in realistic environment, we ascertain that offering MAP services over more than one Autonomous System (AS) proves beneficial.
Don't Bother Me: Users' Reactions to Different Robot Disturbing Behaviors

When living together in a household with a socially assistive robot, it can happen that the robot disturbs its owner by offering a service. One might argue that a social robot should act according to the social norms people expect of each other, but still then disturbances of daily routines are a challenging endeavor to address. We conducted a preliminary user study in which we explored four different disturbing behaviors the socially assistive robot HOBBIT showed, while the user was focusing on a different primary task. We used the BEHAVE measurement set to evaluate the attitudinal and behavioral responses of the users, which disturbance distracted the user the most from his/her primary task and how the disturbance affected the overall attitudinal response towards the robot. Interestingly, our results showed that the disturbing behavior did not heavily negatively impact the assessment of the robot and that not all types of disturbance did distract the users with the same intensity.Categories and Subject DescriptorsJ4 [Computer Applications]: Social and Behavioral Sciences – Psychology. H5.2 [Information Systems]: Information Interfaces and Presentation – User Interfaces.General TermsDesign, Experimentation, Human Factors.
Embedding programming context into source code

Programmers use diverse tools for code understanding to access various types of context information like interface definitions, revision histories, and debugging values. Integrated development environments support specialized visualization mechanisms for such context types. While these mechanisms in principle enable programmers to access required information, the diversity of visualizations as well as the distance between code locations and related information may slow down development. We present a generic approach to embed various types of context uniformly into the main source code view in close proximity to the relevant source code by using a concept called code portals. Furthermore, embedded content can be organized and manipulated directly using operations already familiar to programmers. We illustrate the approach using different types of context, and present preliminary results of a qualitative study indicating that our approach is usable and improves program comprehension and productivity in general. The approach is implemented in a prototypical source code editor.
The Range of Applicability of Nonmonotonic Logics for the Inertia Problem

We introduce and use a new methodology for the study of logics for action and change. The methodology allows one to define a taxonomy of reasoning problems, based in particular on the properties of the actions in those worlds where the actions take place, and on the au-toepistemic assumptions that are being made. For each of a number of previously proposed logics, we have identified a corresponding class in the taxonomy, and proved that for reasoning problems within that class, the logic is guaranteed to obtain exactly the intended set of conclusions. 1 Logics of action and change: a problem of verification There has been much research in recent years on methods for reasoning about actions and change, and on finding solutions to the so-called "frame problems". New variants of nonmonotonic logics for common-sense reasoning have been proposed, only to be quickly refuted by counterexamples. Unfortunately the results that have been obtained in this fashion are notoriously unreliable. According to the standard research methodology in the area, the evidence in favor of a proposed logic should consist of intuitive plausibility arguments and a small number of scenario examples for which the logic is proven (or claimed) to give the intended conclusions and no others. Clearly there is a need for more systematic results, where a proposed logic is verified for a whole class of reasoning problems and not only for single examples. Recently, Lin and Shoham[LS9l], Lifschitz[Lif9l], and Reiter[Rei9l] have reported such correctness results for several nonmonotonic logics which are based on the situation calculus. Their approach has been to relate a non-monotonic theory over a certain set of "common-sense" axioms, to a monotonic theory over a larger set of axioms. In this paper I present another approach which differs from these previous authors in three ways. It addresses logics with explicit time, such as the integers, and not only the situation calculus. This allows one to deal with actions with extended duration, and to analyze plans where the order of the actions is indetermined. Also it is based on an underlying semantics which captures basic notions of intelligent agents. This is hoped to facilitate the use of these results for the design of practical autonomous agents. Finally, rather than starting with a fixed class of reasoning problems and analyzing whether a single, proposed logic is correct or not for that class, I start by defining a taxonomy of reasoning …
Dominantly transmitted congenital indifference to pain

Two patients from a family with dominantly inherited indifference to pain were investigated. Perception of the other sensory modalities was normal as was the remainder of the neurological examination. Electrophysiological studies and morphometric evaluation of myelinated and unmyelinated fibers of nerve biopsy specimens were normal. This is the first morphometric study of peripheral nerve in dominantly inherited indifference to pain.
Effect of Acoustic Emission Sensor Location on the Detection of Grinding Wheel Deterioration in Cylindrical Grinding

The acoustic emission (AE) technique is an effective method for monitoring grinding wheels, and numerous studies have been published on applying an AE to monitor grinding wheels. However, there are few studies on the effect of the location of the AE sensor in stably acquiring the AE signals generated during deterioration in cylindrical grinding wheels. In this study, we propose a stable method for detecting the deterioration of a cubic boron nitride (cBN) grinding wheel during cylindrical grinding using AE. We compared the AE signals acquired during grinding from an AE sensor located on the hydrostatic bearing, which supports the grinding wheel shaft, with those from the tailstock spindle. Although positioning the AE sensor on the hydrostatic bearing was found to reduce the AE signal intensity, the AE signal variations were smaller at the same grinding position, and the effect of the grinding position was less than that for the tailstock spindle. Moreover, positioning an AE sensor on the hydrostatic bearing is considered to provide the characteristics of AE signals specifically focused on the changes in cBN on the grinding wheel surface allowing the surface roughness of the workpiece to be estimated during grinding.
Predicting Chinese text entry speeds on mobile phones

Chinese text entry on mobile phones is critical considering the large number of Chinese speakers worldwide and as a key task in many core applications. But there is still a lack of both empirical data and predictive models that explore the pattern of user behavior in the process. We propose a model to predict user performance with two types of Chinese pinyin input methods on mobile phones. The model integrates a language model (digraph probability) with Fitts' law for key presses, a keystroke-level model for navigation, and a linear model for visual search in pinyin marks and Chinese characters. We tested the model by comparing its predictions with the empirical measures. The predictions are satisfactory and the percentage differences are all within 4% of the empirical results, suggesting that the model can be used to evaluate user performance of Chinese pinyin text entry solutions on mobile phones.
Samera: a scalable and memory-efficient feature extraction algorithm for short 3D video segments

Tele-immersive systems, are growing in popularity and sophistication. They generate 3D video content in large scale, yielding challenges for executing data-mining tasks. Some of the tasks include classification of actions, recognizing and learning actor movements and so on. Fundamentally, these tasks require tagging and identifying of the features present in the tele-immersive 3D videos. We target the problem of 3D feature extraction, a relatively unexplored direction. In this paper we propose Samera, a scalable and memory-efficient feature extraction algorithm which works on short 3D video segments. The focus is on relevant portions of each frame, then uses a flow based technique across frames (in a short video segment) to extract features. Finally it is scalable, by representing the constructed feature vector as a binary vector using Bloom Filters. The results obtained from experiments performed on 3D video segments obtained from Laban Movement Analysis (LMA) show that the compression ratio achieved in Samera is 147.5 as compared to the original 3D videos.
Optimal Rates for Learning with Nyström Stochastic Gradient Methods

In the setting of nonparametric regression, we propose and study a combination of stochastic gradient methods with Nystr\"om subsampling, allowing multiple passes over the data and mini-batches. Generalization error bounds for the studied algorithm are provided. Particularly, optimal learning rates are derived considering different possible choices of the step-size, the mini-batch size, the number of iterations/passes, and the subsampling level. In comparison with state-of-the-art algorithms such as the classic stochastic gradient methods and kernel ridge regression with Nystr\"om, the studied algorithm has advantages on the computational complexity, while achieving the same optimal learning rates. Moreover, our results indicate that using mini-batches can reduce the total computational cost while achieving the same optimal statistical results.
From Contour Completion to Image Schemas: A Modern Perspective on Gestalt Psychology

The Gestalt approach to psychology represents an early but comprehensive and systematic attempt to relate psychological and neural functioning. When the approach was rst formulated and actively researched, however, too little was known about brain function to forge a precise and direct connection. As a result, the approach never fullled its initial promise of a rigorously founded psychology grounded in physical science and has fallen out of the favor and attention of most contemporary students of the mind. In this paper we reexamine Gestalt psychology with reference to what is currently known of dynamic mechanisms of brain function, particularly by exploring plausible neural substrates of perceptual grouping. We suggest, based on this examination, that although many of the details of the Gestalt proposals are in need of revision, the approach remains fundamentally viable, and the elegant character of its grounding and systematicity make it a valuable framework for organizing present knowledge at both neural and functional levels.