Miracle-dz/UniFAR-FTUs huggingface dataset:
An adaptive resource reservation strategy for handoff in wireless CDMA cellular networks

A threshold-based adaptive resource reservation scheme for soft handoff calls in wireless code division multiple access (CDMA) cellular networks is proposed. The scheme gives handoff calls a higher admission priority than new calls, and is designed to adaptively adjust the reservation-request time threshold according to the varying traffic load. The individual reservation requests form a common reservation pool, and handoff calls are served on a first-come, first-served basis. With the proposed scheme, a minimum grade of service (GoS) in terms of new call blocking and handoff call dropping probabilities can be achieved. Simulation results are given to demonstrate the improvement in the GoS performance in comparison with other schemes.
Understanding the Memory Behavior of Emerging Multi-core Workloads

This paper characterizes the memory behavior on emerging RMS (recognition, mining, and synthesis) workloads for future multi-core processors. As multi-core processors proliferate across different application domains, and the number of on-die cores continues to increase, a key issue facing processor architects is the design of the on-die last level cache (LLC). In this paper, we explore the LLC design space for multi-threaded RMS workloads by examining the working set sizes, data sharing behavior, and spatial data locality. Our study reveals that these RMS workloads are memory intensive, have large working-set sizes greater than 16MB on average, exhibit a significant amount of data sharing, about47% on average, and show strong strided streaming access behavior with 77% of accesses in regular pattern. Based on the observations, we then investigate the potential cache architecture choices for future multi-core design. Our experiments show that for these workloads (a) large DRAM caches can be useful to address their large working sets; E.g., a 128MB DRAM cache can reduce the average L1 miss penalty by 18%; (b) shared last level cache provides better cache performance than private cache; E.g., a 8MB shared cache provides 25% performance improvement over a private one with the same total size; and (c) stride based hardware prefetcher provides significant performance benefit by 25%. As a result, we suggest a memory hierarchy with a 128MB DRAM cache, a 8MB on-die SRAM shared cache and an 8-entry stride prefetcher to accommodate RMS workloads.
Heterochrony: It's (all) about Time!

Heterochrony—variation in the rate or timing of developmental processes or events over evolutionary time—plays an important role in the study of evolutionary developmental biology. I review the historical background of heterochrony, and highlight examples of how both physical structure and behavior are influenced by changes in the rate of development. I also describe neurogenetic models of evolution and development, which have been used to investigate heterochronic mechanisms of change. To help illustrate how epigenetic robotics complements the use of neurogenetic models, I propose two research questions for epigenetic robotics that focus on evolutionary changes in developmental timing.
The Influence of Vagal Afferents on the Left Ventricular Contractile Response to Intracoronary Administration of Catecholamines in the Conscious Dog

We studied the effect of vagal afferents on the left ventricular contractile response (LVdP/dW) to administration of sympathomimetic amines into the left circumflex coronary artery in conscious dogs. The positive inotropic effects of bolus administration of epinephrine, norepinephrine, and isoproterenol were greater during bilateral vagal cold block (BVB) than in the control state with the vagi intact (P < 0.001). The inotropic potentiation observed with BVB was not due to vagal efferent interruption, since parasympathetic efferent block with atropine did not potentiate the inotropic effects of intracoronary epinephrine (P > 0.05). BVB also potentiated the inotropic effects of constant intracoronary infusion of epinephrine (P < 0.01). BVB alone had no significant effect on LVdP/dtmax however, BVB during constant intracoronary infusion of epinephrine did result in an increase in LVdP/ dtmax (P < 0.05). We propose that the potentiation of the inotropic effects during BVB could result from either interruption of a vagal afferent-mediated negative feedback reflex and/or an unmasking of a sympathetic afferent-mediated positive feedback effect induced by BVB. However, the observations that ganglionic blockade also potentiated the contractile effects of epinephrine supports the concept that a negative feedback reflex does attenuate the inotropic effect of catecholamines in the control state. In conclusion, these data suggest that vagal afferents attenuate the positive inotropic effects of intracoronary administration of catecholamines via a cardiocardiac negative feedback reflex which occurs through a vagal afferent inhibition of sympathetic efferent activity back to the left ventricle.
Registration of Partial 3D Point Clouds Acquired from a Multi-view Camera for Indoor Scene Reconstruction

In this paper, a novel projection-based method is presented to register partial 3D point clouds, acquired from a multi-view camera, for 3D reconstruction of an indoor scene. In general, conventional registration methods for partial 3D point clouds require a high computational complexity and much time for registration. Moreover, these methods are not robust for 3D point cloud which has a low precision. To overcome these drawbacks, a projection-based registration method is proposed. Firstly, depth images are refined based on both temporal and spatial properties. The former involves excluding 3D points with large variation, and the latter fills up holes referring to four neighboring 3D points, respectively. Secondly, 3D point clouds acquired from two views are projected onto the same image plane, and two-step integer mapping is applied to search for correspondences through the modified KLT. Then, fine registration is carried out by minimizing distance errors based on adaptive search range. Finally, we calculate a final color referring to the colors of corresponding points and reconstruct an indoor scene by applying the above procedure to consecutive scenes. The proposed method not only reduces computational complexity by searching for correspondences on a 2D image plane, but also enables effective registration even for 3D points which have a low precision. Furthermore, only a few color and depth images are needed to reconstruct an indoor scene. The generated model can be adopted for interaction with as well as navigation in a virtual environment.
Predictive Biomarkers to Anti-VEGF Therapy: Progress toward an Elusive Goal

The search for reliable biomarkers predictive of response to anti-VEGF therapy has been elusive. VEGF-A, the therapeutic target of bevacizumab, is an intuitive candidate as a predictive biomarker to bevacizumab-based anticancer therapy. However, there remains much controversy in the use of VEGF-A as a predictor of response to bevacizumab. Clin Cancer Res; 19(4); 755–7. ©2012 AACR.
Concept extraction for disability insurance payment evaluation

Automated evaluation of claims for medical and disability insurance benefits poses a difficult challenge that will take years to be solved. The precise wording of insurance rules and the terse language in medical history files make it difficult for humans, let alone computers, to assess insurance payment qualification accurately. In this thesis, we work towards building a tool that will aid, but not replace, human evaluators. We automate the extraction of relevant parts of medical history files; if sufficiently accurate, this would eliminate the need for human evaluators to comb through hundreds of pages of medical history files. We first create a list of medical concepts, mainly disease and procedure names, from the cardiovascular section of the "Blue Book" for Disability Evaluation under Social Security. Then, using a variation of the longest common substring algorithm, we characterize each medical file line using its substring overlaps with the list of medical concepts. Finally, with human annotations of whether each medical file line is relevant or not, we build machine learning classifiers predicting each line's relevance using its overlap characterization. The classifiers we use are NaYve Bayes and Support Vector Machines. Thesis Supervisor: Peter Szolovits Title: Professor Thesis Supervisor: William J. Long Title: Principal Research Scientist
Frequency domain characterization of LoS nonfading indoor wireless LAN channel employing frequency and polarization diversity in the 63.4-65.4 GHz band

This paper presents results of frequency domain measurements conducted to characterize the distortionless transmission bandwidth (DTB) of indoor nonfading channels employing vertically and horizontally polarized antennas in the frequency band 63.4-65.4 GHz. The mean delay spread (/spl tau//sub mean/), root mean square (rms) delay spread (/spl tau//sub rms/), and the DTB of the channel are also presented as functions of distance between terminals and are compared for both polarizations. The dependence of DTB on the separation between terminals d is modeled as DTB=kd/sup -n/ where k is a constant. /spl tau//sub mean/ increases linearly with d, and its relationship with DTB is characterized as DTB=(1//spl alpha//spl tau//sub mean//sup n/)+c, where /spl alpha/ and c are constants. The effectiveness of frequency and polarization diversity in mitigating the effects of multipath fading in indoor channels has also been evaluated. The performance of both diversity techniques when modulated signals with high data rates for multimedia applications are utilized is presented for maximum selection combining. The performance of frequency diversity is also shown as a function of frequency separation between diversity branch signals to determine whether an optimal frequency separation exists.
Comunicação intercultural: uma desconstrução e reconstrução de um termo inflacionário.

Although the term intercultural communication becomes more and more important in scientific discussion originated in distinct areas which are interested in intercultural research, a theoretical and epistemological foundation conceptualizing the term in an appropriate way and considering an analysis of its constitutes rarely can be found. Therefore, first, the term in question is deconstructed by asking for a reasonable understanding of culture and communication. Subsequently, the term will be reconstructed according to the conclusions made, focusing on the question to what extent it might be really possible to talk about a strict delimitation between intracultural and intercultural communication.
p14ARF promoter hypermethylation in plasma DNA as an indicator of disease recurrence in bladder cancer patients.

PURPOSE Several genes are reported to be implicated in bladder carcinogenesis, including p53, p16INK4a, pRb, erbB-2, Cyclin D1, H-ras, EGFR, and c-myc. Gene alterations in plasma DNA identical to those observed within the tumor have been detected in various types of neoplasia. EXPERIMENTAL DESIGN We analyzed loss of heterozygosity in six microsatellite markers (D17S695, D17S654, D13S310, TH2, D9S747, and D9S161), p53 and K-ras mutations, and the promoter status of p14ARF and p16INK4a in the mononuclear normal blood cells, tumor, and plasma DNA of 27 bladder cancer patients. We also studied the distribution of several clinicopathological parameters in these patients in regard to molecular alterations. RESULTS Seventeen (63%) cases displayed the same alteration in plasma and tumor DNA (some patients showed more than one alteration simultaneously). Plasma p14ARF promoter hypermethylation was associated with the presence of multicentric foci (P = 0.03), larger tumors (P = 0.01), and relapse of the disease (P = 0.03). Plasma loss of heterozygosity was also linked to disease recurrence (P = 0.02). CONCLUSIONS The results indicate that p14ARF aberrant promoter methylation could be involved in bladder carcinogenesis and that plasma DNA is a potential prognostic marker in urinary bladder cancer.
REDEEM: A Pragmatic Trial to Reduce Diabetes Distress

OBJECTIVE To compare three interventions to reduce diabetes distress (DD) and improve self-management among non–clinically depressed adults with type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS In REDEEM, 392 adults with T2DM and DD were randomized to computer-assisted self-management (CASM), CASM plus DD-specific problem solving (CAPS), or a computer-administered minimal supportive intervention. Primary outcomes were Diabetes Distress Scale (DDS) total, the Emotional Burden (EB) and Regimen Distress (RD) DDS subscales, and diet, exercise, and medication adherence. RESULTS Significant and clinically meaningful reductions in DD (DDS, EB, and RD) and self-management behaviors occurred in all three conditions (P < 0.001), with no significant between-group differences. There was, however, a significant group × baseline distress interaction (P < 0.02), in which patients with high baseline RD in the CAPS condition displayed significantly larger RD reductions than those in the other two conditions. RD generated the most distress and displayed the greatest distress reduction as a result of intervention. The pace of DD reduction varied by patient age: older patients demonstrated significant reductions in DD early in the intervention, whereas younger adults displayed similar reductions later. Reductions in DD were accompanied by significant improvements in healthy eating, physical activity, and medication adherence, although not by change in HbA1c. CONCLUSIONS DD is malleable and highly responsive to intervention. Interventions that enhance self-management also reduce DD significantly, but DD-specific interventions may be necessary for patients with high initial levels of DD. Future research should identify the minimal, most cost-effective interventions to reduce DD and improve self-management.
Fast Construction of Disposable Prefix-Free Codes

Some data compression techniques use large numbers of prefix-free codes. The following two techniques do so: adaptive Huffman encoding and bit recycling. Adaptive Huffman encoding allows successive symbols to be encoded where each one is encoded according to the statistics of the symbols seen so far. Bit recycling, on the other hand, is a technique that is designed to improve the efficiency of a certain class of compression techniques (that is, the ones that allow for the existence of multiple encodings of the same data) and that repetitively has to build prefix-free codes that are used to encode or decode only one symbol. In the case of adaptive Huffman encoding, the simple but inefficient solution consists in building a prefix-free code from scratch according to the current statistics (using, say, Huffma n’s algorithm) before encoding each symbol. However, there exist efficient algorithms for adaptive encoding that take advantage o f the fact that the statistics evolve only progressively (e.g., Vitt er’s algorithm). Bit recycling, on the other hand, is unlikely to reuse the same, or even a similar, prefix-free code. Consequently, a lot of prefix-free codes need to be constructed from scratch. Wha t we propose is to use a fast technique to construct prefix-free codes. The technique trades speed in exchange of the optimality of the prefix-free codes it builds. We measured that the technique is 3 to 4 times faster than Huffman’s algorithm, while the encodings of the symbols are only 4% or 1.4% longer on average, depending on whether the technique is used in a general context or in a bit-recycling one, respectively.
Developing Clustering Based on Genetic Algorithm for Global Optimization

Nowadays, databases are widely used over the world. The huge amount of data requires modern methods to make it useful meaning of information, clustering is one of the techniques that collects similar objects then put them in groups. Clustering is an approach appropriate for extracting useful meaning in large database. K-mean clustering is an algorithm characterized by simplicity and easy to implement and provides good results. However, it suffers from being trapped in local optimal solution. Some hybrid between two algorithms aims to combine the advantages of two algorithms to make optimization. In this thesis, we propose applying the same hybrid between kmean clustering and Differential Evolution (DE) called Clustering based Differential Evolution CDE, but in the proposed method, we use Genetic Algorithm (GA) instead of Differential Evolution to find a globally optimal solution. This proposed method called Clustering based on Genetic Algorithm for Global Optimization (CGAGO), then we compare between them. In addition, we use a parameter called cluster period to improve k-mean clustering, in terms of finding the global optimum. Moreover, we test eleven Benchmark functions to validate the proposed method. Experimental results show that the proposed method CGAGO is slightly better and effective than CDE.
Inside embodiment – what means embodiment to radical constructivists?

Purpose – This work explores the consequences of Heinz von Foerster's claim in the context of linear signal theory, embodiment and the creation of artifacts that the nervous system is operationally closed. It operates only in contact to itself.Design/methodology/approach – In linear signal theory all transfer functions can be directly associated with the neural activity where also the environment is described by neural activity. The phenomenon of embodiment is interpreted from the perspective of the nervous system, thus from the inner perspective. To identify inside and outside an organism must learn to identify the disturbances which are only in the environment. This can be done by anticipatory learning.Findings – Questions whether the nervous system is able to distinguish between inside and outside. Mathematically stays in the field of linear control theory and tries to give this mathematical formalism a new meaning in the light of radical constructivism. Gives some guidelines how to apply the highly th.
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning

This paper presents the theoretical research about the relationship between diversity of classification ensembles and single-class measures that are commonly used in class imbalance learning. Although there have been studies on diversity and its links to overall ensemble accuracy, little work has been done on the impact of diversity on single-class performance measures in class imbalance learning. The study of class imbalance learning is important, because many real-world problems, such as those in medical diagnosis, fraud detection, condition monitoring, etc., have imbalanced classes, where a minority class is usually more important and interesting than the majority class. In order to gain a deeper understanding of ensemble learning for imbalanced classes, this paper studies the impact of diversity on single-class performance measures theoretically and empirically. One of the main objectives of this paper is to find out if and when ensemble diversity can improve the classification performance on the important (minority) class.
FeCycle: Attempting an iron biogeochemical budget from a mesoscale SF6 tracer experiment in unperturbed low iron waters

An improved knowledge of iron biogeochemistry is needed to better understand key controls on the functioning of high‐nitrate low‐chlorophyll (HNLC) oceanic regions. Iron budgets for HNLC waters have been constructed using data from disparate sources ranging from laboratory algal cultures to ocean physics. In summer 2003 we conducted FeCycle, a 10‐day mesoscale tracer release in HNLC waters SE of New Zealand, and measured concurrently all sources (with the exception of aerosol deposition) to, sinks of iron from, and rates of iron recycling within, the surface mixed layer. A pelagic iron budget (timescale of days) indicated that oceanic supply terms (lateral advection and vertical diffusion) were relatively small compared to the main sink (downward particulate export). Remote sensing and terrestrial monitoring reveal 13 dust or wildfire events in Australia, prior to and during FeCycle, one of which may have deposited iron at the study location. However, iron deposition rates cannot be derived from such observations, illustrating the difficulties in closing iron budgets without quantification of episodic atmospheric supply. Despite the threefold uncertainties reported for rates of aerosol deposition (Duce et al., 1991), published atmospheric iron supply for the New Zealand region is ∼50‐fold (i.e., 7‐ to 150‐fold) greater than the oceanic iron supply measured in our budget, and thus was comparable (i.e., a third to threefold) to our estimates of downward export of particulate iron. During FeCycle, the fluxes due to short term (hours) biological iron uptake and regeneration were indicative of rapid recycling and were tenfold greater than for new iron (i.e. estimated atmospheric and measured oceanic supply), giving an “fe” ratio (uptake of new iron/uptake of new + regenerated iron) of 0.17 (i.e., a range of 0.06 to 0.51 due to uncertainties on aerosol iron supply), and an “Fe” ratio (biogenic Fe export/uptake of new + regenerated iron) of 0.09 (i.e., 0.03 to 0.24).
Integrating manufacturing softwares for intelligent planning execution: a CIIMPLEX perspective

Recent developments have made it possible to interoperate complex business applications at much lower costs. Application interoperation, along with business process re- engineering can result in significant savings by eliminating work created by disconnected business processes due to isolated business applications. However, we believe much greater productivity benefits can be achieved by facilitating timely decision-making, utilizing information from multiple enterprise perspectives. The CIIMPLEX enterprise integration architecture is designed to enable such productivity gains by helping people to carry out integrated enterprise scenarios. An enterprise scenario is triggered typically by some external event. The goal of an enterprise scenario is to make the right decisions considering the full context of the problem. Enterprise scenarios are difficult for people to carry out because of the interdependencies among various actions. One can easily be overwhelmed by the large amount of information. We propose the use of software agents to help gathering relevant information and present them in the appropriate context of an enterprise scenario. The CIIMPLEX enterprise integration architecture is based on the FAIME methodology for application interoperation and plug-and-play. It also explores the use of software agents in application plug-and- play.