Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI

Non-orthogonal multiple access (NOMA) exploits successive interference cancellation technique at the receivers to improve the spectral efficiency. By using this technique, multiple users can be multiplexed on the same subchannel to achieve high sum rate. Most previous research works on NOMA systems assume perfect channel state information (CSI). However, in this paper, we investigate energy efficiency improvement for a downlink NOMA single-cell network by considering imperfect CSI. The energy efficient resource scheduling problem is formulated as a non-convex optimization problem with the constraints of outage probability limit, the maximum power of the system, the minimum user data rate, and the maximum number of multiplexed users sharing the same subchannel. Different from previous works, the maximum number of multiplexed users can be greater than two, and the imperfect CSI is first studied for resource allocation in NOMA. To efficiently solve this problem, the probabilistic mixed problem is first transformed into a non-probabilistic problem. An iterative algorithm for user scheduling and power allocation is proposed to maximize the system energy efficiency. The optimal user scheduling based on exhaustive search serves as a system performance benchmark, but it has high computational complexity. To balance the system performance and the computational complexity, a new suboptimal user scheduling scheme is proposed to schedule users on different subchannels. Based on the user scheduling scheme, the optimal power allocation expression is derived by the Lagrange approach. By transforming the fractional-form problem into an equivalent subtractive-form optimization problem, an iterative power allocation algorithm is proposed to maximize the system energy efficiency. Simulation results demonstrate that the proposed user scheduling algorithm closely attains the optimal performance.
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling

Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixtures of sequence models - a generalization of density-based visualization methods previously developed for static data sets. In order to effectively explore visualization plots, one needs to understand local directional magnification factors, i.e. the extend to which small positional changes on visualization plot lead to changes in local noise models explaining the structured data. Magnification factors are useful for highlighting boundaries between data clusters. In this paper we present two techniques for estimating local metric induced on the sequence space by themodel formulation. We first verify our approach in two controlled experiments involving artificially generated sequences. We then illustrate our methodology on sequences representing chorals by J.S. Bach.
Frequency of Symptom Distress and Poor Prognostic Indicators in Palliative Cancer Patients Admitted to a Tertiary Palliative Care Unit, Hospices, and Acute Care Hospitals

The Edmonton Regional Palliative Care Program was established to increase access to palliative care for terminal cancer patients in the region. Inpatient care is delivered, in decreasing order of distress, at the tertiary palliative care unit, by consult teams in acute care facilities, and in hospices. We reviewed the admission data for all patients discharged from the program between November 1, 1997, and October 31, 1998, in order to determine if demographical and clinical variables suggested appropriate use of the three levels of care. Patients admitted to the tertiary palliative care unit were significantly younger than those admitted to acute care of hospices (61 years versus 68 years and 71 years respectively, p<0.0001), had a higher frequency of positive screening for alcoholism in the CAGE questionnaire (27% versus 16% and 14% respectively, p<0.0001), and a higher frequency of poor prognostic pain syndromes as compared to acute care admissions (87% versus 65%, p<0.0001). Overall, frequency of symptoms and severe symptoms was significantly higher in patients admitted to the palliative care unit than those admitted to the other two settings. Our results suggest that patients with demographic and clinical indications of higher distress are more frequently admitted to the tertiary palliative care unit. The clinical tools are useful predictors of utilization that can be used for monitoring health care delivery.
Introducing software engineering

What is software engineering? why engineer software? background to a project issues, methodologies and techniques software tools and their role in software engineering systems analysis - stages and techniques software specifications system design - stages and techniques software implementation programming techniques software maintenance software quality assurance software engineering - alternative approaches formal methods ethics object-oriented methods software prototyping.
Generative Concatenative Nets Jointly Learn to Write and Classify Reviews

A recommender system's basic task is to estimate how users will respond to unseen items. This is typically modeled in terms of how a user might rate a product, but here we aim to extend such approaches to model how a user would write about the product. To do so, we design a character-level Recurrent Neural Network (RNN) that generates personalized product reviews. The network convincingly learns styles and opinions of nearly 1000 distinct authors, using a large corpus of reviews from BeerAdvocate.com. It also tailors reviews to describe specific items, categories, and star ratings. Using a simple input replication strategy, the Generative Concatenative Network (GCN) preserves the signal of static auxiliary inputs across wide sequence intervals. Without any additional training, the generative model can classify reviews, identifying the author of the review, the product category, and the sentiment (rating), with remarkable accuracy. Our evaluation shows the GCN captures complex dynamics in text, such as the effect of negation, misspellings, slang, and large vocabularies gracefully absent any machinery explicitly dedicated to the purpose.
The old open clusters Berkeley 32 and King 11

We have obtained CCD BVI imaging of the old open clusters Berkeley 32 and King 11. Using the synthetic colour-magnitude diagram method with three different sets of stellar evolution models of various metallicities, with and without overshooting, we have determined their age, distance, reddening and indicative metallicity, as well as distance from the Galactic Centre and height from the Galactic plane. The best parameters derived for Berkeley 32 are: subsolar metallicity (Z = 0.008 represents the best choice, Z = 0.006 or 0.01 is more marginally acceptable), age = 5.0-5.5 Gyr (models with overshooting; without overshooting the age is 4.2-4.4 Gyr with poorer agreement), (m - M) 0 = 12.4-12.6, E(B - V) = 0.12-0.18 (with the lower value being more probable because it corresponds to the best metallicity), R GC ∼ 10.7-11 kpc and |Z| ∼ 231-254 pc. The best parameters for King 11 are: Z = 0.01, age = 3.5-4.75 Gyr, (m - M) 0 = 11.67-11.75, E(B - V) = 1.03-1.06, R GC ∼ 9.2-10 kpc and |Z| ∼ 253-387 pc.
Characterization of the porcine neonatal Fc receptor—potential use for trans‐epithelial protein delivery

The neonatal Fc receptor transports maternal immunoglobulin across the gut wall and has the potential to deliver genetically engineered proteins bearing immunoglobulin Fc domains across the gut to the mucosal immune system. Here we have characterized the porcine neonatal Fc receptor and tested its utility as a model system to study this kind of protein delivery. The complete DNA sequence obtained from an EST revealed 70–80% homology to mouse and human receptors, respectively, and tyrptophan and di‐leucine endocytosis motifs were identified in the cytoplasmic tail. Reverse transcription–polymerase chain reaction analysis showed expression of the receptor mRNA in gut, liver, kidney and spleen tissue, aortic endothelial cells and monocytes. Pig kidney cell lines showed saturable pH‐dependent binding and uptake of porcine immunoglobulin G (IgG) and also bovine, mouse and human IgG. Polyclonal antibodies raised against the receptor immunoprecipitated a protein of 40 000 MW when the cDNA was expressed in cells and the receptor required assembly with porcine β2‐microglobulin for transport from the endoplasmic reticulum to recycling and early endosomes. Immunohistochemical analysis showed the receptor expressed in epithelial cells of the gut of young and adult animals. The ability of the receptor to deliver immunoglobulin across the gut was demonstrated by feeding piglets bovine colostrum as a source of bovine IgG. Bovine IgG was delivered into the pig circulation. Pigs express the neonatal Fc receptor and the receptor has the potential to deliver protein antigens to the pig immune system.
Energetically Efficient Ladder Descent Motion With Internal Stress and Body Motion Optimized for a Multilocomotion Robot

Energy efficiency of locomotion is a significant issue for autonomous mobile robots. This paper focuses on the pace gait ladder descent motion that has a closed kinematic chain formed by the robot links and the environment. To reduce the energy cost in the closed kinematic chain, we propose an optimal control strategy by optimizing the internal stress and motion trajectories in parametric form. As the main contributions of this paper, three types of energetically efficient ladder descent motions are generated with different motion-mode assumptions. Critical factors, including cycle time, horizontal distance between the robot and the vertical ladder, and value of internal stress, are analyzed theoretically. Simulation and experimental results indicate that the proposed control strategy is effective for planning an energetically efficient ladder descent motion.
Autosomal microsatellite profile of three socially diverse ethnic Tamil populations of India.

Blood samples were obtained by venipuncture from random, consenting individuals of the three populations: Kongu Vellala Gounder (56), Irular (54), and Chakkiliyar (49). DNA was isolated using standard phenol/chloroform procedure (1). Fifteen autosomal microsatellite loci were amplified using the PowerPlex® 16 system (Promega Corporation, Madison) according to manufacturer's recommendations (2). The amplified products were separated by denaturing gel electrophoresis using the ABI Prism™ 377 DNA Sequencer (PE Applied Biosystems, Foster City, CA). Alleles were determined by comparison with the allelic ladder included in the kit.
Error tolerant searching of uninterpreted tandem mass spectrometry data

An error tolerant mode for database matching of uninterpreted tandem mass spectrometry data is described. Selected database entries are searched without enzyme specificity, using a comprehensive list of chemical and post‐translational modifications, together with a residue substitution matrix. The modifications are tested serially, to avoid the catastrophic loss of discrimination that would occur if all the permutations of large numbers of modifications in combination were possible. The new mode has been coded as an extension to the Mascot search engine, and tested against a number of Liquid chromatography‐tandem mass spectrometry datasets. The results show a number of additional peptide matches, but require careful interpretation. The most significant limitation of this approach is that it can only reveal new matches to proteins that already have at least one significant peptide match.
Operon prediction without a training set

MOTIVATION Annotation of operons in a bacterial genome is an important step in determining an organism's transcriptional regulatory program. While extensive studies of operon structure have been carried out in a few species such as Escherichia coli, fewer resources exist to inform operon prediction in newly sequenced genomes. In particular, many extant operon finders require a large body of training examples to learn the properties of operons in the target organism. For newly sequenced genomes, such examples are generally not available; moreover, a model of operons trained on one species may not reflect the properties of other, distantly related organisms. We encountered these issues in the course of predicting operons in the genome of Bacteroides thetaiotaomicron (B.theta), a common anaerobe that is a prominent component of the normal adult human intestinal microbial community. RESULTS We describe an operon predictor designed to work without extensive training data. We rely on a small set of a priori assumptions about the properties of the genome being annotated that permit estimation of the probability that two adjacent genes lie in a common operon. Predictions integrate several sources of information, including intergenic distance, common functional annotation and a novel formulation of conserved gene order. We validate our predictor both on the known operons of E.coli and on the genome of B.theta, using expression data to evaluate our predictions in the latter.
A digital s wall thickn first and se

DDS, MS, Alireza Rekabi 2 DDS, Hasan Shahabi 2 DDS, Rezvan Ashuri 2 DDS, , MPH, Maryam Rad 4 DDS, MS, and Jahangir Haghani 5 DDS, MS Endodontics, Dental School, Kerman University of Medical Sciences, Kerman Oral and Dental , Kerman, Iran. f Endodontics, Dental School, Kerman University of Medical Sciences, Kerman, Iran. and Biostatistics, Physiology Research Center, Kerman University of Medical Sciences, Kerman,
Standardizing Wordnets in the ISO Standard LMF: Wordnet-LMF for GermaNet

It has been recognized for quite some time that sustainable data formats play an important role in the development and curation of linguistic resources. The purpose of this paper is to show how GermaNet, the German version of the Princeton WordNet, can be converted to the Lexical Markup Framework (LMF), a published ISO standard (ISO-24613) for encoding lexical resources. The conversion builds on Wordnet-LMF, which has been proposed in the context of the EU KYOTO project as an LMF format for wordnets. The present paper proposes a number of crucial modifications and a set of extensions to Wordnet-LMF that are needed for conversion of wordnets in general and for conversion of Ger-maNet in particular.
Structural alterations in lateral prefrontal, parietal and posterior midline regions of men with chronic posttraumatic stress disorder.

BACKGROUND So far, the neural network associated with posttraumatic stress disorder (PTSD) has been suggested to mainly involve the amygdala, hippocampus and medial prefrontal cortex. However, increasing evidence indicates that cortical regions extending beyond this network might also be implicated in the pathophysiology of PTSD. We aimed to investigate PTSD-related structural alterations in some of these regions. METHODS We enrolled highly traumatized refugees with and without (traumatized controls) PTSD and nontraumatized controls in the study. To increase the validity of our results, we combined an automatic cortical parcellation technique and voxel-based morphometry. RESULTS In all, 39 refugees (20 with and 19 without PTSD) and 13 controls participated in the study. Participants were middle-aged men who were free of psychoactive substances and consumed little to no alcohol. Patients with PTSD (and to a lesser extent traumatized controls) showed reduced volumes in the right inferior parietal cortex, the left rostral middle frontal cortex, the bilateral lateral orbitofrontal cortex and the bilateral isthmus of the cingulate. An influence of cumulative traumatic stress on the isthmus of the cingulate and the lateral orbitofrontal cortex indicated that, at least in these regions, structural alterations might be associated with repeated stress experiences. Voxel-based morphometry analyses produced largely consistent results, but because of a poorer signal-to-noise ratio, conventional statistics did not reach significance. LIMITATIONS Although we controlled for several important confounding variables (e.g., sex, alcohol abuse) with our particular sample, this might limit the generalizibility of our data. Moreover, high comorbidity of PTSD and major depression hinders a definite separation of these conditions in our findings. Finally, the results concerning the lateral orbito frontal cortex should be interpreted with caution, as magnetic resonance imaging acquisition in this region is affected by a general signal loss. CONCLUSION Our results indicate that lateral prefrontal, parietal and posterior midline structures are implicated in the pathophysiology of PTSD. As these regions are particularly involved in episodic memory, emotional processing and executive control, this might have important implications for the understanding of PTSD symptoms.
Grid object description: characterizing grids

We present a new data model approach to describe the various objects that either represent Grid infrastructure or make use of it. The data model is based on our experiences and experiments conducted in heterogeneous grid environments. While very sophisticated data models exist to describe and characterize, e.g. compute capacities or Web services, we will show that a general description, which combines all of these aspects, is needed to give an adequate representation of objects on a Grid. The Grid Object Description Language (GODsL) is a generic and extensible approach to unify the various aspects that an object on a Grid can have. GODsL provides the content for the XML based communication in Grid migration scenarios, carried out in the GridLab project. We describe the data model architecture on a general level and focus on the Grid application scenarios.
Floorplanning with clock tree estimation

Traditional floorplanners determine the module topology for the minimization of total chip area, total wirelength, and routing congestion. However, as design complexity continues to increase, it is necessary to reduce the clock skew and estimate the clock latency during floorplanning. We propose a two-stage simulated annealing (SA) floorplanner based on sequence-pair representation. A clock tree estimation model is embedded into the floorplanner to guide the process of floorplan generation. Our clock tree model includes two parts. First, we use an H-tree algorithm to predict an intra-module clock tree for each module. Second, the DME algorithm is applied for inter-module clock tree generation. Experimental data show that both the clock tree wirelength and the clock latency can be improved simultaneously, while the extra overhead on the chip area is small.
2.1.5 Does Object‐Oriented System Engineering Eliminate the Need for Requirements?

This paper examines system engineering (SE) and object‐oriented (OO) methodologies and then shows both that SE is inherently OO and that OO languages such as the Unified Modeling Language (UML) may be used to document the user's needs in a manner that can be used by developers. The paper also suggests a next generation tool concept that can be used to hold both user and developer representation of the user's needs as an alternative to, and an improvement on, text mode “requirements”, hence increasing the reliability of the shared meaning of the user's needs amongst all stakeholders.
Example-Based Metonymy Recognition for Proper Nouns

Metonymy recognition is generally approached with complex algorithms that rely heavily on the manual annotation of training and test data. This paper will relieve this complexity in two ways. First, it will show that the results of the current learning algorithms can be replicated by the 'lazy' algorithm of Memory-Based Learning. This approach simply stores all training instances to its memory and classifies a test instance by comparing it to all training examples. Second, this paper will argue that the number of labelled training examples that is currently used in the literature can be reduced drastically. This finding can help relieve the knowledge acquisition bottleneck in metonymy recognition, and allow the algorithms to be applied on a wider scale.
Subjective age bias: A motivational and information processing approach

There is broad empirical evidence, but still a lack of theoretical explanations, for the phenomenon that most older people feel considerably younger than their real age. In this article, a measurement model of subjective age was assessed, and two independent theoretical approaches are proposed: (1) a motivational approach assuming that the age underestimation is a special form of self-enhancement; and (2) an information-processing approach assuming that elderly people look younger nowadays than formerly, which leads to an underestimation of their own age since people compare themselves to an age-prototype which is no longer accurate. Data from 792 adults aged 58—70 support the motivational approach, without ruling out the information processing approach. Data from a younger sample (42 students aged 20—35) provide evidence for the information processing approach additionally. Further, a path model suggests that bodily aspects are the strongest predictor of subjective age.
Increasing the Efficiency of the High-Power Triode HF Amplifier -Why not With the Second Harmonic?

Applying the linear model of the high--power HF triode, the conditions of the optimal design are analyzed in the paper, proposing the injection of the second harmonic in the input and output circuits. The optimal content of the second harmonic is investigated assuming an equal injection of the second harmonic in the input and the output circuits. The results are compared to the similar results of the linear amplifier under the same conditions but without any injection and also with the amplifier with the injection of the third harmonics, previously published.
ON OPTIMAL CONTROL THEORY FOR THE NEOCLASSICAL MODEL OF GROWTH

The notes derive the salient features of optimal control theory for an infinite horizon objective function. For concreteness, the necessary and sufficient conditions are derived with reference to the neoclassical model of growth. However, the ideas easily extend to other economic problems. The need for the exercise arises from the lack of a single source which students can access for a development of the subject from first principles. NOTES ON OPTIMAL CONTROL THEORY FOR THE NEOCLASSICAL MODEL OF GROWTH by Dipankar Dasgupta