Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework for Uplink Power Control in Cellular Radio Systems

In cellular wireless communication systems, transmitted power is regulated to provide each user an acceptable connection by limiting the interference caused by other users. Several models have been considered including: (1) fixed base station assignment where the assignment of users to base stations is fixed, (2) minimum power assignment where a user is iteratively assigned to the base station at which its signal to interference ratio is highest, and (3) diversity reception where a user's signal is combined from several or perhaps all base stations. For the above models, the uplink power control problem can be reduced to finding a vector p of users' transmitter powers satisfying p/spl ges/I(p) where the jth constraint p/sub j//spl ges/I/sub j/(p) describes the interference that user j must overcome to achieve an acceptable connection. This work unifies results found for these systems by identifying common properties of the interference constraints. It is also shown that systems in which transmitter powers are subject to maximum power limitations share these common properties. These properties permit a general proof of the synchronous and totally asynchronous convergence of the iteration p(t+1)=I(p(t)) to a unique fixed point at which total transmitted power is minimized. >
Gate-level power estimation using tagged probabilistic simulation

In this paper, we present a probabilistic simulation technique to estimate the power consumption of a CMOS circuit under a general delay model. This technique is based on the notion of a tagged (probability) waveform, which models the set of all possible events at the output of each circuit node. Tagged waveforms are obtained by partitioning the logic waveform space of a circuit node according to the initial and final values of each logic waveform and compacting all logic waveforms in each partition by a single tagged waveform. To improve the efficiency of tagged probabilistic simulation, only tagged waveforms at the circuit inputs are exactly computed. The tagged waveforms of the remaining nodes are computed using a compositional scheme that propagates the tagged waveforms from circuit inputs to circuit outputs. We obtain significant speed up over explicit simulation methods with an average error of only 6%. This also represents a factor of 2-3/spl times/ improvement in accuracy of power estimates over previous probabilistic simulation approaches.
Brain reorganization, not relative brain size, primarily characterizes anthropoid brain evolution

Comparative analyses of primate brain evolution have highlighted changes in size and internal organization as key factors underlying species diversity. It remains, however, unclear (i) how much variation in mosaic brain reorganization versus variation in relative brain size contributes to explaining the structural neural diversity observed across species, (ii) which mosaic changes contribute most to explaining diversity, and (iii) what the temporal origin, rates and processes are that underlie evolutionary shifts in mosaic reorganization for individual branches of the primate tree of life. We address these questions by combining novel comparative methods that allow assessing the temporal origin, rate and process of evolutionary changes on individual branches of the tree of life, with newly available data on volumes of key brain structures (prefrontal cortex, frontal motor areas and cerebrocerebellum) for a sample of 17 species (including humans). We identify patterns of mosaic change in brain evolution that mirror brain systems previously identified by electrophysiological and anatomical tract-tracing studies in non-human primates and functional connectivity MRI studies in humans. Across more than 40 Myr of anthropoid primate evolution, mosaic changes contribute more to explaining neural diversity than changes in relative brain size, and different mosaic patterns are differentially selected for when brains increase or decrease in size. We identify lineage-specific evolutionary specializations for all branches of the tree of life covered by our sample and demonstrate deep evolutionary roots for mosaic patterns associated with motor control and learning.
A Methodology to Detect and Track Breaking News on Twitter

Twitter is an interesting platform for the dissemination of news. The real-time nature and brevity of the tweets are conducive to sharing of information related to important events as they unfold. But, one of the greatest challenges is to find the tweets that we can characterize as news in the ocean of tweets. In this paper, we propose a novel method for detecting and tracking breaking news from Twitter in real-time. We filter the stream of incoming tweets to remove junk tweets using a text classification algorithm. We also compare the performance of different supervised text classification algorithms for this task. We then cluster similar tweets, so that, tweets in the same cluster relate to the same real-life event and can be termed as a breaking news. Finally, we rank the news using a dynamic scoring system which also allows us to track the news over a period of time.
Robotic Assistance in Coordination of Patient Care

—We conducted a study to investigate trust in and dependence upon robotic decision support among nurses and doctors on a labor and delivery ﬂoor. There is evidence that suggestions provided by embodied agents engender inappropriate degrees of trust and reliance among humans. This concern is a critical barrier that must be addressed before ﬁelding intelligent hospital service robots that take initiative to coordinate patient care. Our experiment was conducted with nurses and physicians, and evaluated the subjects’ levels of trust in and dependence on high-and low-quality recommendations issued by robotic versus computer-based decision support. The support, generated through action-driven learning from expert demonstration, was shown to produce high-quality recommendations that were accepted by nurses and physicians at a compliance rate of 90%. Rates of Type I and Type II errors were comparable between robotic and computer-based decision support. Furthermore, embodiment appeared to beneﬁt performance, as indicated by a higher degree of appropriate dependence after the quality of recommendations changed over the course of the experiment. These results support the notion that a robotic assistant may be able to safely and effectively assist in patient care. Finally, we conducted a pilot demonstration in which a robot assisted resource nurses on a labor and delivery ﬂoor at a tertiary care center.
Analysis of two cDNA clones encoding the B lymphocyte antigen CD20 (B1, Bp35), a type III integral membrane protein

Two cDNA clones encoding the pan-B cell CD20 antigen were isolated from a COS cell expression library. The two clones bear identical coding sequences and differ only in the length of the 3' untranslated region. The predicted CD20 sequence is 297 residues long and contains three hydrophobic domains, one of which is long enough to span the membrane twice. COS cells transfected with either CD20 clone express an immunoreactive protein of 33 kD.
Tetramethylammonium dimethyl (phenylsulfonylamido)phosphate(1−)

The title compound, C4H12N+·C8H11NO5PS−, was obtained from tetramethylammonium hydroxide and dimethyl(phenylsulfonyl)amidophosphate. The tetramethylammonium cation has a slightly distorted tetrahedral configuration and the N—C bond lengths lie in the range 1.457 (3)–1.492 (3) Å. In the crystal, no classical hydrogen bonds are observed between the cation and the anion.
Clinical applications of MS‐based protein quantification

Mass spectrometry‐based assays are increasingly important in clinical laboratory medicine and nowadays are already commonly used in several areas of routine diagnostics. These include therapeutic drug monitoring, toxicology, endocrinology, pediatrics, and microbiology. Accordingly, some of the most common analyses are therapeutic drug monitoring of immunosuppressants, vitamin D, steroids, newborn screening, and bacterial identification. However, MS‐based quantification of peptides and proteins for routine diagnostic use is rather rare up to now despite excellent analytical specificity and good sensitivity.
PMAX: tenant placement in multitenant databases for profit maximization

There has been a great interest in exploiting the cloud as a platform for database as a service. As with other cloud-based services, database services may enjoy cost efficiency through consolidation: hosting multiple databases within a single physical server. Aggressive consolidation, however, may hurt the service quality, leading to SLA violation penalty, which in turn reduces the total business profit, called SLA profit. In this paper, we consider the problem of tenant placement in the cloud for SLA profit maximization, which, as will be shown in the paper, is strongly NP-hard. We propose SLA profit-aware solutions for database tenant placement based on our model for expected penalty computation for multitenant servers. Specifically, we present two approximation algorithms, which have constant approximation ratios, and we further discuss improving the quality of tenant placement using a dynamic programming algorithm. Extensive experiments based on TPC-W workload verified the performance of the proposed approaches.
Towards a more situation appropriate and responsive extension approach for Ethiopia

This paper investigates the influence of some selected personal, environmental and intervening factors on the adoption behaviour of dairy producers with the object of identifying the most important causes of behaviour and thus finding a more purposeful and effective way of changing the adoption behaviour. 200 farmers were randomly drawn form a total of about 430 standing members of Ada Liben Woreda Dairy And Dairy Products Marketing Association (ALWDADPMA) in Debrezeit, Ethiopia. In the analysis of data the ordinary least squares (OLS) regression methods were employed to identify the most important determinants associated with behavioural change The results indicate that, in general, the intervening variables tend to have the highest prediction value. They were found to explain 68.3 percent and 80.9 percent of the variance of behaviour associated with the practice adoption and production efficiency, while the independent variables explained only 17.8 percent and 19.3 percent of the variation, respectively. The contribution of independent variables appears substantial only when their indirect effect (effect through intervening variables) is considered. SA Jnl. Agric. Ext. Vol 33 2004: 52-63
Music Subcultures Online: The Indie Folk Scene and How Facebook Influences Participation

The following study attempts to identify an independent music subculture within the Providence, Rhode Island scene. Specifically this study will seek to identify such a subculture related to the indie folk genre of music, as this is a popular genre within this area of interest. In order to identify this subculture, a series of interviews were conducted with indie folk musicians from the Providence area. These interviews sought to identify this subculture based on the four basic characteristics of subcultures as identified by Hodkinson, which include identification, commitment, consistent distinctiveness, and autonomy (as cited in Mattar, 2003). The results of these interviews did, in fact, demonstrate that such a scene exists based on these characteristics. The second portion of this study sought to identify how the social-networking site, Facebook, might play a role within the identified indie folk subculture. In order to examine this, a survey was conducted with individuals who responded to targeted Facebook posts from individuals in Rhode Island. The results of these surveys demonstrates that Facebook does play a role in the indie folk community, specifically through the posting and sharing of media, the creation and sharing of events, and interaction through and on fan, band, and group pages.
Evaluation of the effectiveness of short-term rehabilitation of women with chronic low back pain using the Oswestry and Roland-Morris Disability Scales.

BACKGROUND 60-80% of the population experience chronic low back pain at some point in their lives [1], with women suffering more frequently [2]. Low back pain-related ailments lead to long-term or recurrent disability [3, 4]. Rehabilitation based on physiotherapy provides a viable alternative and is rightly regarded as safer for patients. However, finding an effective method of rehabilitation is a difficult task [5, 6]. The aim of this study was to compare the outcomes of rehabilitation in women with chronic low back pain using the Oswestry and Roland-Morris Disability Scales and to identify factors influencing the degree of functional disability in patients with chronic low back pain. MATERIAL AND METHODS The study involved 319 women aged 18-75 years (mean age = 45 years, SD ± 16. 3). The participants were undergoing treatment at the Rehabilitation Centre of Zamość University of Management and Administration on account of chronic low back pain, following two or more episodes lasting longer than three months. The outcomes of rehabilitation were assessed with ODI and RMDQ. RESULTS We obtained comparable results with the ODI and RMDQ and found statistically significant improvement in functional status after rehabilitation (ODI: p <0.001, RMDQ: p <0.001). In both cases there was a statistically significant relationship between the degree of functional disability and age (ODI: p <0.001, RMDQ: p <0.001), education (ODI: p <0.004, RMDQ: p <0.004), BMI (ODI: p <0.001, RMDQ : p <0.001), WHR (ODI: p <0.001, RMDQ: p <0.001), and hypertension (ODI: p <0.001, RMDQ: p <0.001). There were no statically significant differences between the degree of disability vs. place of residence (ODI: p <0.5, RMDQ: p <0.867) or the presence of type 2 diabetes (ODI: p <0.321, RMDQ: p <0.06). CONCLUSIONS 1.The programme for rehabilitation of patients with low back pain proved effective in reducing the degree of disability, as demonstrated both by the Oswestry Disability Index and the Roland-Morris Disability Questionnaire. 2. The relationship between the degree of functional disability and age, BMI, WHR, and hypertension was also confirmed by both questionnaires.
Meetings: The Frontline of Civilization*:

The meetingization of society as a central aspect of civilizing processes is the theme of this article. This term refers to a long-term social process: as larger numbers of people become mutually dependent over larger areas and/or differences in power decrease between people, an increased number of problems needs to be solved through talking and decision-making in meetings which require an ever-increasingly precise, more equal and more embracing regulation of impulses and short-lived affects. This ‘compulsion to meet’ is less well developed when the networks of mutual dependence are smaller and less stable, and/or the balances of power are more unequal.
Segmentation of High-resolution Satellite Imagery Based on Feature Combination

High resolution (H-res) satellite sensors provide rich structural or spatial information of image objects. But few researchers study the feature extraction method of H-res satellite images and its application. This paper presents a very simple yet efficient feature extraction method that considers the cross band relations of multi-spectral images. The texture feature of a region is the joint distributions of two texture labelled images that are calculated by its first two principal components (PCs) and the spectral feature is that of grayscale pixel values of its two PCs. The texture distributions operated by a rotation invariant form of local binary patterns (LBP) and spectral distributions are adaptively combined into coarse-to-fine segmentation based on integrated multiple features (SIMF). The performance of the feature extraction approach is evaluated with segmentation of H-res multi-spectral satellite imagery by the SIMF approach.
Sparse Online Gaussian Processes

We develop an approach for sparse representations of Gaussian Process (GP) models (which are Bayesian types of kernel machines) in order to overcome their limitations for large data sets. The method is based on a combination of a Bayesian online algorithm together with a sequential construction of a relevant subsample of the data which fully specifies the prediction of the GP model. By using an appealing parametrisation and projection techniques that use the RKHS norm, recursions for the effective parameters and a sparse Gaussian approximation of the posterior process are obtained. This allows both for a propagation of predictions as well as of Bayesian error measures. The significance and robustness of our approach is demonstrated on a variety of experiments. Sparse Online Gaussian Processes 2
Approaching the Conceptual Leap in Qualitative Research

This paper reviews the literature on an important but mysterious phenomenon in qualitative research methodology: the conceptual leap that generates abstract theoretical ideas from empirical data. Drawing on epistemological, prescriptive and reflexive writings, conceptual leaps are described as constituted by both ‘seeing’ and ‘articulating’, as grounded in abductive reasoning, and as part of an ongoing dialectical process. Methods for approaching conceptual leaps and the conditions for their realization are discussed in the context of four dialectic tensions: between deliberation and serendipity, between engagement and detachment, between knowing and not knowing, and between self‐expression and social connection. The literature review suggests that conceptual leaping is best portrayed as a form of bricolage, drawing resources from the different poles of the four dialectics. Moreover, written and verbal communication play important roles in enabling synthesis. The paper concludes by calling for greater openness and legitimacy for reflexive accounts, as well as further research into the process of discovery in qualitative research.
The J-invariant and the Tits algebras of a linear algebraic group

In the present paper we set up a connection between the indices of the Tits algebras of a simple linear algebraic group G and the degree one parameters of its J-invariant. Our main technical tool is the second Chern class map in the Riemann-Roch theorem without denominators. As an application we recover some known results on the J-invariant of quadratic forms of small dimension; we describe all possible values of the J-invariant of an algebra with involution up to degree 8 and give explicit examples; we establish several relations between the J-invariant of an algebra A with involution and the J-invariant (of the quadratic form) over the function field of the Severi-Brauer variety of A.
Execution Time Estimation for Workflow Scheduling

Estimation of the execution time is an important part of the workflow scheduling problem. The aim of this paper is to highlight common problems in estimating the workflow execution time and propose a solution that takes into account the complexity and the randomness of the workflow components and their runtime. The solution proposed in this paper addresses the problems at different levels from task to workflow, including the error measurement and the theory behind the estimation algorithm. The proposed estimation algorithm can be integrated easily into a wide class of schedulers as a separate module. We use a dual stochastic representation, characteristic / distribution functions, in order to combine tasks' estimates into the overall workflow makespan. Additionally, we propose the workflow reductions - the operations on a workflow graph that do not decrease the accuracy of the estimates, but simplify the graph structure, hence increasing the performance of the algorithm.
On the impact of policing and rate guarantees in DiffServ networks: a video streaming application perspective

Over the past few years, there have been a number of proposals aimed at introducing different levels of service in the Internet. One of the more recent proposals is the Differentiated Services (Diff-Serv) architecture, and in this paper we explore how the policing actions and associated rate guarantees provided by the Expedited Forwarding (EF) translate into perceived benefits for applications that are the presumed users of such enhancements. Specifically, we focus on video streaming applications that arguably have relatively strong service quality requirements, and which should, therefore, stand to benefit from the availability of some form of enhanced service. Our goal is to gain a better understanding of the relation that exists between application level quality measures and the selection of the network level parameters that govern the delivery of the guarantees that an EF based service would provide. Our investigation, which is experimental in nature, relies on a number of standard streaming video servers and clients that have been modified and instrumented to allow quantification of the perceived quality of the received video stream. Quality assessments are performed using a Video Quality Measurement tool based on the ANSI objective quality standard. Measurements were made over both a local Diff-Serv testbed and across the QBone, a QoS enabled segment of the Internet2 infrastructure. The paper reports and analyzes the results of those measurements.
Escherichia coli shedding patterns in humans and dogs: insights into within-household transmission of phylotypes associated with urinary tract infections

SUMMARY Within-household transmission of Escherichia coli may contribute to the pathogenesis of urinary tract infection but understanding of transmission is limited by the lack of longitudinal data on individual shedding patterns. In this study, faecal E. coli was isolated over 6 months from 18 humans and 13 dogs in eight households. Typing 322 E. coli isolates by amplified fragment length polymorphism showed high overall diversity as indicated by the average diversity index (0·66). However, individual shedding patterns varied considerably: two persons carried a single resident E. coli clone throughout the study whereas distinct clones were isolated from other individuals on each sampling time. Nineteen clones were shared within six of the eight households and seven of these clones were shared between humans and dogs. The frequent sharing of clones belonging to phylotypes B2 (n=7) or D (n=4) supports the hypothesis that urovirulent E. coli are transmitted between household members, including dogs, or may be acquired by a common source such as food.
Text Segmentation using Named Entity Recognition and Co-reference Resolution

 In this paper we examine the benefit of performing named entity recognition and co-reference resolution to a Greek corpus used for text segmentation. Segments consist of portions among one of the 300 documents published by ten different authors in the Greek newspaper "To Vima". The aim here is to examine whether the combination of text segmentation and information extraction (and most specifically the named entity recognition and co-reference resolution steps) can prove to be beneficial for the identification of the various topics that appear in a document. Named entity recognition was performed using an already existing tool which was trained on a similar corpus. The produced annotations were manually corrected and enriched in order to cover four types of named entities (i.e. person name, organization, location and time). Coreference resolution and most specifically substitution of every reference of the same instance with the same named entity identifier was performed in a subsequent step. The evaluation using three well known text segmentation algorithms leads to the conclusion that, the benefit highly depends on the segment's topic, the number of named entity instances appearing in it, as well as the segment's length. Keywords Text segmentation, Named entity recognition, Co-reference resolution, Information extraction.