Miracle-dz/UniFAR-FTUs huggingface dataset:
A Parameter Estimation Model of G-CSF: Mathematical Model of Cyclical Neutropenia

We investigate the FFT (Fast Fourier Transform) model and G-CSF (granulocyte colony-stimulating factor) treatment of CN (Cyclical Neutropenia). We collect grey collies and normal dog’s data from CN and analyze the G-CSF treatment. The model develops the dynamics of circulating blood cells before and after the G-CSF treatment. This is quite natural and useful for the collection of laboratory data for investigation. The proposed interventions are practical. This reduces the quantity of G-CSF required for potential maintenance. This model gives us good result in treatment. The changes would be practical and reduce the risk side as well as the cost of treatment in G-CSF.
A study of families' satisfaction with a family interventions in psychosis service in Somerset

Although research has shown the efficacy of family interventions in psychosis, there has been little research into families' own experience of services in routine clinical settings. Fifteen of the first twenty-two referrals to a Somerset Family Interventions Service agreed to take part in semi-structured interviews regarding family satisfaction and clinical outcome. High levels of engagement and satisfaction with the service were reported in spite of initial apprehension regarding family sessions. Family members thought that the sessions had helped them deal more effectively with problems and relatives' symptoms. They valued the opportunity for open discussion, developing new perspectives and problem-solving, as well as liaison/closer working with mental health services. Positive therapeutic qualities/skills (e.g. empathic, non-judgemental approach; mutually agreed goals) were highlighted. This study also indicated that successful engagement in family work requires referral at an early stage. The findings of this study, particularly those relating to the therapeutic relationship, are discussed, including their relevance for future research.
The case of the disappearing firms: empirical evidence and implications

Organizational survival represents a vital objective for firms, managers, and owners. Most organizational theories regard survival as the ‘correct’ outcome for firms whose managers successfully navigate across a hostile competitive landscape. On the other hand, when a firm ‘disappears,’ scholars, managers, and owners ask, What went wrong? ' Failure, exit, bankruptcy, liquidation, hostile takeovers, are largely viewed as results of managerial ‘bungling. ’ Many theories about performance, competitive advantage, legitimacy, and leadership rest upon a core assumption that firms, at least some of them, have long, perhaps limitless, life-spans. Long-term survival is not seen as merely a random outcome or an unattainable goal. This paper surveys a broad set of empirical findings about firms' life-spans. It is consistently revealed in the empirical literature that the VAST majority of firms, even large firms, survive relatively short periods. Some themes and their implications are discussed. Copyright © 2006 John Wiley & Sons, Ltd.
Full-chip sub-threshold leakage power prediction model for sub-0.18 μm CMOS

The driving force for the semiconductor industry growth has been the elegant scaling nature of CMOS technology. In future CMOS technology generations, supply and threshold voltages will have to continually scale to sustain performance increase, control switching power dissipation, and maintain reliability. These continual scaling requirements on supply and threshold voltages pose several technology and circuit design challenges. With threshold voltage scaling sub-threshold leakage power is expected to become a significant portion of the total power in future CMOS systems. Therefore, it becomes crucial to predict sub-threshold leakage power of such systems. In this paper, we present a sub-threshold leakage power prediction model that takes into account within-die threshold voltage variation. Statistical measurements of 32-bit microprocessors in 0.18 mm CMOS confirms that the mean error of the model to be 4%. Comparisons of this model to two other existing models that do not take within-die threshold voltage variation into account are also presented.
Perceived Family Influence on Undergraduate Adult Female Students

Abstract Adult women's decisions to attend college and persist toward degree attainment are likely influenced by family members from both family of origin and current family. This study was designed to examine (a) rated support of family members within the family of origin and current family to attend and persist in college, (b) specific attitudes of both families and their relationship to perceived support and grade point average, and (c) emotional and behavioral support of current family. Fifty-four female undergraduate students age 25 and older completed an online survey. Mothers were rated as most supportive of the decision to attend and support to persist. Other family members were reported as most supportive in the current family. While familial support was not related to grade point average, reported level of support to attend and persist in college was related with the family placing importance on academic achievement, relationships in the educational arena, and future goals. Differences between family of origin and current family surfaced. Behavioral and emotional support in the current family was related to overall support to attend and persist.
Turnover of naive- and memory-phenotype T cells

On the basis of their surface markers, T lymphocytes are divided into subsets of "naive" and "memory cells". We have defined the interrelationship and relative life spans of naive and memory T cells by examining the surface markers on murine T cells incorporating bromodeoxyuridine, a DNA precursor, given in the drinking water. Three findings are reported. First, using a new method we show that the release of newly formed naive T cells from the unmanipulated thymus is very low (confirming the findings of others with surgical approaches). Second, in thymectomized mice, T cells with a naive phenotype remain in interphase for prolonged periods; however, some of these cells divide and retain (or regain) their "naive" markers. Third, most T cells with a memory phenotype divide rapidly, but others remain in interphase for many weeks. Collectively, the data indicate that long-lived T cells have multiple phenotypes and contain a mixture of memory cells, naive (virgin) cells, and memory cells masquerading as naive cells.
Systems Pharmacology and Rational Polypharmacy: Nitric Oxide−Cyclic GMP Signaling Pathway as an Illustrative Example and Derivation of the General Case

Impaired nitric oxide (NO˙)-cyclic guanosine 3', 5'-monophosphate (cGMP) signaling has been observed in many cardiovascular disorders, including heart failure and pulmonary arterial hypertension. There are several enzymatic determinants of cGMP levels in this pathway, including soluble guanylyl cyclase (sGC) itself, the NO˙-activated form of sGC, and phosphodiesterase(s) (PDE). Therapies for some of these disorders with PDE inhibitors have been successful at increasing cGMP levels in both cardiac and vascular tissues. However, at the systems level, it is not clear whether perturbation of PDE alone, under oxidative stress, is the best approach for increasing cGMP levels as compared with perturbation of other potential pathway targets, either alone or in combination. Here, we develop a model-based approach to perturbing this pathway, focusing on single reactions, pairs of reactions, or trios of reactions as targets, then monitoring the theoretical effects of these interventions on cGMP levels. Single perturbations of all reaction steps within this pathway demonstrated that three reaction steps, including the oxidation of sGC, NO˙ dissociation from sGC, and cGMP degradation by PDE, exerted a dominant influence on cGMP accumulation relative to other reaction steps. Furthermore, among all possible single, paired, and triple perturbations of this pathway, the combined perturbations of these three reaction steps had the greatest impact on cGMP accumulation. These computational findings were confirmed in cell-based experiments. We conclude that a combined perturbation of the oxidatively-impaired NO˙-cGMP signaling pathway is a better approach to the restoration of cGMP levels as compared with corresponding individual perturbations. This approach may also yield improved therapeutic responses in other complex pharmacologically amenable pathways.
A Review of Manchester, Miller, and FM0 Encoding Techniques

Encoding techniques are becoming more important in communication. Techniques such as Miller, Manchester, and FM0 encoding can be used in various applications. Each technique has different operations based on their needs. Each encoding scheme should be used without losing any of its parameters. The finite state machine can be used for all encodings, because at a time the input has given the corresponding output can be occurred due to this. So speed can be increased. The fully-reused VLSI architecture of FM0, Manchester, and Miller encoders has reduced the number of transistors and maintains the DC balance. The simulation results of Xilinx indicate successful functions.
Knowledge through a collaborative network: a cross‐cultural partnership

A recurring issue for researchers, policy‐makers and practitioners is how new knowledge can be disseminated, critiqued, assessed and incorporated into policy development and practice. Campbell and Fulford examined strategies in a Canadian Education Ministry which was striving to incorporate research findings into policy debate. They evolved a useful framework indentifying six forms and stages of knowledge development related to research use in this context: generation of new knowledge, mobilisation, contextualisation, adaptation, application and integration. This paper uses their framework to explore links between research and practice in a collaborative cross‐cultural partnership designed to develop greater capacity in teacher education in a Pacific country, and based on action, co‐construction and reflection. It argues that there are blurred boundaries between knowledge production and its practical implementation, use and testing, that contextualisation and relationship building are crucial to knowledge mobilisation, and that knowledge is generated across all stages in the process.
Convex Optimization-Based Signal Detection for Massive Overloaded MIMO Systems

This paper proposes signal detection schemes for massive multiple-input multiple-output (MIMO) systems, where the number of receive antennas is less than that of transmitted streams. Assuming practical baseband digital modulation and taking advantage of the discreteness of transmitted symbols, we formulate the signal detection problem as a convex optimization problem, called sum-of-absolute-value (SOAV) optimization. Moreover, we extend the SOAV optimization into the weighted-SOAV (W-SOAV) optimization and propose an iterative approach to solve the W-SOAV optimization with updating the weights in the objective function. Furthermore, for coded MIMO systems, we also propose a joint detection and decoding scheme, where log likelihood ratios of transmitted symbols are iteratively updated between the MIMO detector and the channel decoder. In addition, a theoretical performance analysis is provided in terms of the upper bound of the size of the estimation error obtained with the W-SOAV optimization. Simulation results show that the bit error rate performance of the proposed scheme is better than that of conventional schemes, especially in large-scale overloaded MIMO systems.
Classification by means of Evolutionary Response Surfaces

Response surfaces are a powerful tool for both classifica- tion and regression as they are able to model many different phenomena and construct complex boundaries between classes. Nevertheless, the ab- sence of efficient methods for obtaining manageable responsesurfaces for real-world problems due to the large number of terms needed, greatly un- dermines their applicability. In this paper we propose the use of real-coded genetic algorithms for over- coming these limitations. We apply the evolved response surfaces to clas- sification in two classes. The proposed algorithm selects a model of mini- mum dimensionality improving the robustness and generalisation abilities of the obtained classifier. The algorithm uses a dual codification (real and binary) and specific operators adapted from the standard operators for real-coded algorithms. The fitness function considers the classification er- ror and a regularisation term that takes into account the number of terms of the model. The results obtained in 10 real-world classification problems from the UCI Machine Learning Repository are comparable with well-known classifica- tion algorithms with a more interpretable polynomial function.
Effects of Resistance to Bt Cotton on Diapause in the Pink Bollworm, Pectinophora gossypiella

Abstract Fitness costs associated with resistance to Bacillus thuringiensis (Bt) crops are expected to delay the evolution of resistance. In a previous study where pink bollworm, Pectinophora gossypiella (Lepidoptera: Gelechiidae), larvae overwintered in outdoor insectaries, individuals from Bt-resistant strains had lower survival than individuals from Bt-susceptible strains or F1 progeny from crosses between resistant and susceptible adults. To investigate the physiological basis of such recessive cost, diapause duration was experimentally manipulated in the laboratory. Compared to a Bt-susceptible strain and F1 progeny, we hypothesized that Bt-resistant strains could exhibit a lower propensity or intensity of diapause, faster weight loss during overwintering, lower initial weight of diapausing larvae, and reduced longevity of moths emerging from diapause. Results were as expected for initial weight of diapausing larvae and longevity of overwintered male moths or female moths remaining in diapause for a short period. However, a higher diapause induction and intensity and slower weight loss occurred in F1 progeny and Bt-resistant strains than in a Bt-susceptible strain. Moreover, F1 progeny had greater overwintering survival than the Bt-resistant and Bt-susceptible strains, and F1 female moths had the greatest longevity after sustaining long diapausing periods. All of these unexpected results may be explained by pleiotropic effects of resistance to Bt cotton that increased the strength of diapause in the F1 progeny and Bt-resistant strains. Incomplete resistance was reflected in disadvantages suffered by Bt-resistant individuals feeding on a Bt diet instead of a non-Bt diet, including lower diapause propensity, lower diapause intensity and reduced longevity of overwintered male moths. While this study suggests that the evolution of resistance to Bt cotton and feeding on a Bt diet in Bt-resistant individuals have pervasive effects on several traits associated with diapause, further field experiments are needed to elucidate the basis of the overwintering cost in the pink bollworm.
β2‐ADR haplotypes/polymorphisms associate with bronchodilator response and total IgE in grass allergy

Association and linkage studies of β2‐adrenergic receptor (β2‐ADR) polymorphisms in relation to the expression of asthmatic phenotypes and immune regulatory mechanisms have shown inconsistent results. In order to analyse the relevance of particular combinations of single nucleotide polymorphisms (SNPs) or haplotypes of β2‐ADR gene to bronchial asthma, bronchodilator response and total immunoglobulin E (IgE) we determined by direct DNA sequencing five SNPs (in positions: −47, −20, 46, 79, 252) in a group of 180 Caucasian subjects (110 patients with grass allergy and 70 nonatopic controls). The eight different β2‐ADR haplotypes were identified, with three the most common of them representing 92% of the studied cohort. Significantly higher (pcor = 0.0045) bronchodilator response was observed in patients with homozygotic genotype 46A/A in comparison with respective homo‐ and hetero‐zygotes. There was no significant difference in bronchodilator response when β2‐ADR haplotypes were analysed. Significantly higher (pcor = 0.0005) total IgE levels were found in patients with β2‐ADR haplotype −47T/−20T/46A/79C/252G and homozygotic carriers of 46A (pcor = 0.0015) and 79C (pcor = 0.003) genotypes. No significant associations were found in regards to asthmatic phenotype and atopy. These results indicate that depending on phenotype studied, either an individual β2‐ADR SNP or β2‐ADR haplotype might affect disease manifestation.
On spectral triples in quantum gravity: I

This paper establishes a link between noncommutative geometry and canonical quantum gravity. A semi-finite spectral triple over a space of connections is presented. The triple involves an algebra of holonomy loops and a Dirac-type operator, which resembles a global functional derivation operator. The commutation relation between the Dirac operator and the algebra has a structure related to the Poisson bracket of general relativity. Moreover, the associated Hilbert space corresponds, up to a certain symmetry group, to the Hilbert space of diffeomorphism-invariant states known from loop quantum gravity. Correspondingly, the square of the Dirac operator has, in terms of loop quantum gravity, the form of a global area-squared operator. Furthermore, the spectral action functional resembles a partition function of quantum gravity. The construction is background independent and is based on an inductive system of triangulations. This paper is the first of two papers on the subject.
Missionaries and Cannibals in the Causal Calculator

A knowledge representation formalism is \elaboration tolerant" to the extent that it is convenient to modify a set of facts expressed in the formalism to take into account new phenomena or changed circumstances. John McCarthy illustrated this idea by deening 19 elaborations of the Missionaries and Cannibals Problem. We argue that, to a certain degree, the goal of elaboration tolerance is met by the input language of Norman Mc-Cain's Causal Calculator. We present formal descriptions of the basic Missionaries and Cannibals Problem and of ten of McCarthy's enhancements as input les accepted by the Causal Calculator. Each enhancement is obtained from the basic formulation by the simplest kind of elaboration|adding postulates.
Nouns to verbs and verbs to nouns: When do children acquire class extension rules for deverbal nouns and denominal verbs?

ABSTRACT We investigated when children acquire class extension rules for denominal verbs and deverbal nouns using an intermodal preferential looking paradigm. We taught French-speaking 2.5-year-olds (mean age = 2 years, 8.56 months [2;8.56], range = 2;6–2;11) and 3-year-olds (mean age = 3;3.31, range = 3;0–3;5) novel parent nouns or verbs referring to unfamiliar instruments and their functions, and then tested their interpretation of both the parent word and its denominal verb or deverbal noun. Experiment 1 demonstrated that only the 3-year-olds understood the denominal verbs. Experiment 2 demonstrated that only 3-year-olds who learned the parent verbs were able to interpret the deverbal nouns correctly. These findings suggest that French-speaking children acquire class extension rules for denominal verbs and deverbal nouns by the age of 3 years and can demonstrate this knowledge as long as they are able to learn the parent words.
The PAGE (Page Analysis and Ground-Truth Elements) Format Framework

There is a plethora of established and proposed document representation formats but none that can adequately support individual stages within an entire sequence of document image analysis methods (from document image enhancement to layout analysis to OCR) and their evaluation. This paper describes PAGE, a new XML-based page image representation framework that records information on image characteristics (image borders, geometric distortions and corresponding corrections, binarisation etc.) in addition to layout structure and page content. The suitability of the framework to the evaluation of entire workflows as well as individual stages has been extensively validated by using it in high-profile applications such as in public contemporary and historical ground-truthed datasets and in the ICDAR Page Segmentation competition series.
Analytical performance model for Poisson wireless networks with pathloss and shadowing propagation

The SINR (signal to interference plus noise ratio) is a key factor for wireless networks analysis. Indeed, the SINR distribution allows the derivation of performance and quality of service (QoS) evaluation. Moreover, it also enables the analysis of radio resources allocation and scheduling policies, since they depend on the SINR reached by a UE (User Equipment). Therefore, it is particularly interesting to develop an analytical method which allows to evaluate the SINR, in a simple and quick way, for a realistic environment. Considering a stochastic Poisson network model, we establish the CDF (cumulative distributed function) of the SINR. We show that the shadowing can be neglected, in many cases, as long as mobiles are connected to their best serving base station (BS), i.e. the BS which offers them the most powerful useful signal. As a consequence, the analysis of performance and quality of service, directly derived from the CDF of SINR, can be established by using a propagation model which takes into account only the pathloss. Moreover, we establish that the Fluid network model we have proposed can be used to analyze stochastic Poisson distributed network. Therefore, the analysis of stochastic Poisson network can be done in an easy and quick way, by using the analytical expression of the SINR established thanks to the Fluid network model.
Low Complexity Residual Phase Tracking Algorithm for OFDM-based WLAN Systems

This paper presents the design of an efficient low complexity residual phase tracking algorithm for Orthogonal Frequency Division Multiplexing (OFDM) based Wireless Local Area Network receivers. In this paper the focus is on mitigation of the residual carrier frequency synchronization offset and sampling frequency offset. We propose a novel algorithm that uses piecewise linear approximation to estimate the complex exponential of the phase angle at pilot locations instead of estimating the actual phase angle by highly complex (costly) angle computation and search functions. This helps in reducing the implementation cost of an OFDM receiver. By means of analysis and simulation we show that our design combines both high performance and low complexity.
RADAR: A tool for debugging regression problems in C/C++ Software

Multiple tools can assist developers when debugging programs, but only a few solutions specifically target the common case of regression failures, to provide a more focused and effective support to debugging. In this paper we present RADAR, a tool that combines change identification and dynamic analysis to automatically explain regression problems with a list of suspicious differences in the behavior of the base and upgraded version of a program. The output produced by the tool is particularly beneficial to understand why an application failed. A demo video is available at http://www.youtube. com/watch? v=DMGUgALG-yE.
Versatile Link Adaptation Based on Mutual Information

This paper considers a flexible frequency-selective link adaptation scheme for dynamic scheduling systems. Adaptation is performed based on mutual information metrics imposing no constraints on the scheduling and resource allocation. The proposed bit loading algorithm adjusts the codeword length to the available resource units such that codewords may be transmitted over several slots. Simulation results confirm the flexibility of the proposed algorithm which works irrespective of packet and slot lengths and yields a throughput close to the optimum.