Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance modeling and analysis of a distributed computing environment

The paper studies the performance of computing environment design alternatives for an application workload associated with a large software product generation process. A number of configurations based on shared memory multiprocessor computing platforms and network file servers are considered in the study. The various computing environment configurations are differentiated based on the location of the devices that provide physical storage for the input and output files of the software product generation process, and the characteristics of the computing platforms that are used to provide compute and file services. The evaluation of the design alternatives is based on a multiclass priority queuing network model that is used to analyze system performance under various load conditions, identify potential bottlenecks and study design tradeoffs.
Adaptive TDMA-based clustering for critical event detection in Wireless Sensor Networks

In this paper, a novel adaptive TDMA-based clustering for critical event detection in Wireless Sensor Networks (WSN) is proposed. The aim of our adaptive approach is to detect the critical event, such a fire detection in the forest, at the required delay with minimum energy consumption. So, when an event occurs, only the sensor nodes in the detection area will be in active mode, while the others will be in sleep mode. The reaction to the event is made locally. This behavior can consume less energy. The simulation results show that our adaptive approach is better than the non-adaptive approach. We have compared our results to other works and we have proved the efficiency of our approach in terms of energy consumption.
Effects of prolonged combined strength and endurance training on physical fitness, body composition and serum hormones in women with rheumatoid arthritis and in healthy controls.

OBJECTIVE The effects of a 21-week combined strength and endurance training period on physical fitness, serum hormone concentrations, and subcutaneous fat in 23 women with rheumatoid arthritis (RA) and in 12 matched healthy subjects was studied. METHODS The measurements included leg extension forces and EMG activity, muscle and fat thickness on thigh, maximal oxygen uptake (VO2max) and serum concentrations of testosterone, free testosterone, growth hormone, insulin-like growth factor-I (IGF-I), dehydroepiandrosterone sulphate (DHEAS), and cortisol. RESULTS During the training period significant increases took place in VO2max, muscle strength and EMG activity in both groups. The increases of the quadriceps femoris thickness were 6.5% (p < 0.001) in the healthy controls and 7.4% (p < 0.001) in the RA cases. The decreases in subcutaneous fat thicknesses were 9.9% (p < 0.001) and 12.3% (p < 0.001), respectively. No significant changes were found in serum hormone concentrations, but RA women showed lower levels of IGF-I during the whole follow-up. CONCLUSIONS In RA women with stable disease the combined strength and endurance training increases physical fitness. Further the training increases muscle mass and decreases subcutaneous fat. It may decrease risks of cardiovascular diseases in RA patients. The intensive training had minor effects on serum hormone concentrations.
A low-glycemic load diet facilitates greater weight loss in overweight adults with high insulin secretion but not in overweight adults with low insulin secretion in the CALERIE Trial.

Lifestyle changes, in particular reducing energy intake, are the cornerstone of current approaches to weight loss and prevention of type 2 diabetes. However, there is currently no consensus that one dietary regimen is more effective than another for weight loss (1) or whether particular diets work better for identifiable groups of individuals. There is evidence, however, to suggest that both insulin resistance and insulin secretion play a role in body weight regulation (2–12). Therefore, dietary factors such as the dietary glycemic load (glycemic load = glycemic index [GI] × available carbohydrate amount) that influence these parameters may theoretically interact with subject-specific characteristics of glucose-insulin dynamics to influence the effect of different hypocaloric diets on weight loss or maintenance (13,14). Weight loss studies using the concept of the dietary glycemic index or glycemic load have shown conflicting results for heterogeneous groups of individuals (15–21). In a 6-month controlled feeding trial in healthy overweight adults with normal glucose tolerance, we tested the hypothesis that individuals with higher insulin secretion lose more weight when randomized to a low–glycemic load diet compared with a high–glycemic load diet. This study was performed as part of the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) trial at the Human Nutrition Research Center on Aging at Tufts University with approval from the Tufts-New England Medical Center Human Investigation Review Committee. Written informed consent was obtained from all participants. Healthy women and men aged 24–42 …
Joint Tactical Radio System Common Network Services

The Joint Tactical Radio System (JTRS) family of radios will provide networking capability across the Department of Defense (DoD) by hosting networking waveforms designed to their intended operating environments. Additional networking functionality beyond what the service acquisitions and waveforms are currently developing will be required within JTRS to provide interconnectivity among the networked waveforms and with the other Global Information Grid (GIG) components (e.g. WIN-T). The JTRS family must provide a common IP convergence layer for all hosted networked waveforms. In this paper, we will present the JTRS Common Network Services (CNS) as a solution for this seamless interoperability in the JTRS. CNS provides interoperability by interconnecting disparate waveform networks at the IP layer. This will allow the military to plan and execute joint missions that deploy a wide variety of platforms, weapons systems and surveillance equipment, across services and with waveforms designed for their specific operating environments. In contrast to waveforms that operate at layer 1, 2 and sometimes at layer 3, CNS operates at layer 3 and above. This paper will describe the CNS and discuss challenging aspects of their implementation in a network environment of constantly moving platforms.
Bacterial foraging oriented by particle swarm optimization of a Lyapunov-based controller for mobile robot target tracking

Target tracking is a challenging task for an autonomous mobile robot moving in unknown environments. This paper addresses an efficient bacterial foraging oriented by a particle swarm optimization algorithm for an automatic tuning of the control gains of a Lyapunov-based controller in order to enable a mobile robot to track a moving target along an unknown trajectory. The proposed optimization algorithm combines both BFO and PSO algorithms advantages to increase the possibility of finding the optimal values within a short computational time and avoid to be trapped in local minima. Simulation results illustrate that the proposed approach is efficient and effective; and leads to good target tracking performances.
Perception matters! Engagement in task orientated social robotics

Engagement in task orientated social robotics is a complex phenomenon, consisting of both task and social elements. Previous work in this area tends to focus on these aspects in isolation without consideration for the positive or negative effects one might cause the other. We explore both, in an attempt to understand how engagement with the task might effect the social relationship with the robot, and vice versa. In this paper, we describe the analysis of participant self-report data collected during an exploratory pilot study used to evaluate users' “perception of engagement”. We discuss how the results of our analysis suggest that ultimately, it was the users' own perception of the robots' characteristics such as friendliness, helpfulness and attentiveness which led to sustained engagement with both the task and robot.
Effect of vascular endothelial growth factor gene transfer on infarct size, left ventricular function and myocardial perfusion in sheep after 2 months of coronary artery occlusion

In large mammalian models of acute myocardial infarction (AMI), plasmid‐mediated vascular endothelial growth factor (pVEGF) gene transfer has been shown to induce angio‐arteriogenesis, proliferation of myocyte precursors and adult cardiomyocyte mitosis, reducing infarct size at 15 days after coronary artery occlusion. However, it is unknown whether these effects persist at longer follow‐up times, nor how they affect cardiac performance. We thus assessed infarct size, left ventricular (LV) function and perfusion in 2‐month‐old ovine AMI.
Psychometric Properties of the Reconstructed Hamilton Depression and Anxiety Scales

Abstract Although widely used, the Hamilton Rating Scale for Depression (HRSD) and Hamilton Anxiety Rating Scale (HARS) discriminate poorly between depression and anxiety. To address this problem, Riskind, Beck, Brown, and Steer (J Nerv Ment Dis. 175:474–479, 1987) created the Reconstructed Hamilton Scales by reconfiguring HRSD and HARS items into modified scales. To further analyze the reconstructed scales, we examined their factor structure and criterion-related validity in a sample of patients with major depressive disorder and no comorbid anxiety disorders (n = 215) or with panic disorder and no comorbid mood disorders (n = 149). Factor analysis results were largely consistent with those of Riskind et al. The correlation between the new reconstructed scales was small. Compared with the original scales, the new reconstructed scales correlated more strongly with diagnosis in the expected direction. The findings recommend the use of the reconstructed HRSD over the original HRSD but highlight problems with the criterion-related validity of the original and reconstructed HARS.
On-Chip Spectral Analysis for Built-In Testing using FFT Engine

: On chip Built in testing of electronic equipment is very much necessary these days this is because customers are demanding more value for their money spent on electronic gadgets. The accurate and efficient analysis requires use of a very precise hardware and software. Also full understanding of test signals and system is required to perform spectrum analysis. FFT(Fast Fourier Transform algorithm) is the technique which can be used to perform built in test and calibration with the help of multi tone test signals with certain inter modulation component and harmonic component. To increase the accuracy of algorithm it I required to use large no of FFT test points. But if we increase FFT points the it will result in power consumption and large area this difficulty can be overcome by using coherent sampling rather than using traditional sampling method.
The diel oviposition periodicity of Aedes aegypti (L.) (Diptera: Culicidae) in the laboratory: substrate-movement effect

Abstract The diel oviposition periodicity of females of the LSHTM strain of Aedes aegypti was studied, under laboratory conditions, using one female/cage and monitoring, by changing the substrate, every 1, 2, 4 or 24 h. The individual females monitored at hourly intervals showed peak oviposition at 18.00–19.00 hours (a period when 44% of the eggs observed were laid) whereas the individuals monitored at two-hourly intervals showed peak oviposition between 16.00–18.00 hours (38% of eggs). The four-hourly monitoring gave a result that was similar to that of the two-hourly monitoring, with 79% of eggs laid between 14.00–18.00 hours, indicating an earlier peak in oviposition than seen with the one-hourly monitoring. Care should therefore be taken when conducting similar studies in the laboratory and when comparing or considering data derived from experiments in which different monitoring intervals have been employed.
Horizontal Transfer of phnAc Dioxygenase Genes within One of Two Phenotypically and Genotypically Distinctive Naphthalene-Degrading Guilds from Adjacent Soil Environments

ABSTRACT Several distinct naphthalene dioxygenases have been characterized to date, which provides the opportunity to investigate the ecological significance, relative distribution, and transmission modes of the different analogs. In this study, we showed that a group of naphthalene-degrading isolates from a polycyclic aromatic hydrocarbon (PAH)-contaminated hillside soil were phenotypically and genotypically distinct from naphthalene-degrading organisms isolated from adjacent, more highly contaminated seep sediments. Mineralization of 14C-labeled naphthalene by soil slurries suggested that the in situ seep community was more acclimated to PAHs than was the in situ hillside community. phnAc-like genes were present in diverse naphthalene-degrading isolates cultured from the hillside soil, while nahAc-like genes were found only among isolates cultured from the seep sediments. The presence of a highly conserved nahAc allele among gram-negative isolates from the coal tar-contaminated seep area provided evidence for in situ horizontal gene transfer and was reported previously (J. B. Herrick, K. G. Stuart-Keil, W. C. Ghiorse, and E. L. Madsen, Appl. Environ. Microbiol. 63:2330-2337, 1997). Natural horizontal transfer of the phnAc sequence was also suggested by a comparison of the phnAc and 16S ribosomal DNA sequences of the hillside isolates. Analysis of metabolites produced by cell suspensions and patterns of amplicons produced by PCR analysis suggested both genetic and metabolic diversity among the naphthalene-degrading isolates of the contaminated hillside. These results provide new insights into the distribution, diversity, and transfer of phnAc alleles and increase our understanding of the acclimation of microbial communities to pollutants.
Vision based image retrieval (VBIR): a new eye tracking based approach to efficient and intuitive image retrieval

Die vorliegende Arbeit beschreibt einen neuen Ansatz fur die inhaltsbasierte Suche von Bildern in Datenbanken auf Basis von Blickbewegungsmessungen. Im Vision-Based Image Retrieval (VBIR) werden die Bilder in 16 gleich grose Sektoren unterteilt, fur die jeweils lokale Farb-, Form- und Texturmerkmale berechnet werden. Das Besondere am VBIR-Ansatz ist die dynamische Gewichtung lokaler Bildmerkmale (Bottom-Up Informationen) aus Aufmerksamkeitslandschaften online erfasster Blickdaten (Top-Down Informationen). Auf diese Weise passt sich das System den Praferenzen des Benutzers an. In den folgenden Suchprozessen werden dann solche Bilder ausgewahlt, die dem gesuchten Bild in den bevorzugten Sektoren und Bildeigenschaften am ahnlichsten sind. Das neue System wurde in zwei Studien evaluiert, deren Ergebnisse vorgestellt werden: zum einen wird der neue Ansatz mit einem klassischen Bildsuchsystem (CBIR) verglichen. Zum anderen werden die Suchergebnisse beider Ansatze gemas menschlichen Ahnlichkeitsbewertungen beurteilt. Die Ergebnisse belegen, dass mit dem VBIR-System eine hohere Erfolgsquote bei kurzeren mittleren Suchzeiten erreicht werden kann. Daruber hinaus werden die gefundenen Bilder als ahnlicher zum Anfragebild bewertet als beim CBIR-System. Bei der Umsetzung der Bildsuchsysteme werden zwei zentrale Aspekte fur deren Gestaltungsprozess, namlich die Bestimmung der optimalen Gewichtung der Bildmerkmale und die Merkmalsevaluierung, genauer untersucht. Dabei wird die optimale Gewichtung der eingesetzten Merkmalstypen mittels Shannon-Entropie aus Distanzhistogrammen berechnet. Im Gegensatz zu den ublichen Ansatzen, die iterativ die Einzelgewichtungen manuell anpassen, erfordert dieses Verfahren lediglich einen Rechendurchgang. Die Evaluation der Bildmerkmale erfolgt uber ein Lernverfahren, eine Selbstorganisierende Merkmalskarte (SOM), welche Bilder gemas ihrer Merkmalsahnlichkeit auf einem 2D Gitter anordnet. Die Arbeit schliest mit der Beschreibung von Computermodellen, mit denen die Suchprozesse fur beide Bildsuchverfahren (VBIR und CBIR) in wesentlichen Zugen nachgebildet werden. Mittels eines weiteren, separaten Modells wird evaluiert, wie die verschiedenen Bildeigenschaften die Aufmerksamkeit der Probanden steuern.
Time Series Analysis: Univariate and Multivariate Methods

1. Overview. 2. Fundamental Concepts. 3. Stationary Time Series Models. 4. Non-Stationary Time Series Models. 5. Forecasting. 6. Model Identification. 7. Parameter Estimation, Diagnostic Checking, and Model Selection. 8. Seasonal Time Series Models. 9. Intervention Analysis and Outlier Detection. 10. Fourier Analysis. 11. Spectral Theory of Stationary Processes. 12. Estimation of the Spectrum. 13. Transfer Function Models. 14. Vector Time Series Models. 15. State Space Models and the Kalman Filter. 16. Aggregation and Systematic Sampling in Time Series. 17. References. 18. Appendix.
Feasibility study of millimeter wave CMOS automotive pulse radars

The death toll and financial loss from automotive accidents necessitate the use of automotive radars. However, existing commercial automotive radars are bulky and expensive, and are therefore offered only in higher-end vehicles. The advancements in CMOS technology provide a great opportunity for it to be used in the 76-81 GHz frequency band allocated to automotive radar, thereby offering a lower-cost solution. This paper addresses some of the design challenges of millimeter wave CMOS transceivers from a system level perspective, proposes a radar system, and presents simulation results for key functions in the system that were obtained in AWR Visual System Simulator (VSS). The paper also discusses the options of built in self testability of CMOS transceivers thus envisioning a complete low cost solution for automotive radars.
Detection of autoantibodies to precursor proteins of desmogleins in sera of a patient with Bowen carcinoma.

© 2014 The Authors. doi: 10.2340/00015555-1776 Journal Compilation © 2014 Acta Dermato-Venereologica. ISSN 0001-5555 Non-pathogenic autoantibodies against desmogleins (Dsg), which do not reflect disease activity, might be detected during disease courses of pemphigus, but are rarely shown in healthy individuals (1). To clarify the significance of these antibodies, using various techniques we examined sera of a patient with Bowen carcinoma, which showed high titres of circulating anti-Dsg1 and anti-Dsg3 IgG antibodies by commercially available enzyme-linked immunosorbent assays (ELISA).
Identification of INS and KCNJ11 gene mutations in type 1B diabetes in Japanese children with onset of diabetes before 5 yr of age

The etiology of type 1 diabetes (T1D) is heterogeneous and is according to presence or absence of pancreatic autoantibodies divided into two subtypes: type 1A (autoimmune‐mediated) and type 1B (non‐autoimmune‐mediated). Although several genes have been linked to type 1A diabetes, the genetic cause of type 1B diabetes in Japanese individuals is far from understood.
Comparative performance of parallel join algorithms

The authors recently (1990, 1991) described two new join algorithms designed to address the data skew problem. These algorithms were based, respectively, on the traditional sort merge and hash join algorithms, and employed techniques borrowed from mathematical optimization theory. The current paper proposes significant improvements to both algorithms, increasing their effectiveness while simultaneously decreasing their execution times. It then focuses on the comparative performance of the improved algorithms and their more conventional sort merge and hash counterparts. The latter two are perfectly good algorithms except that they fail to deal with data skew. Both I/O- and CPU-bound configurations were examined. The new algorithms outperform their more conventional counterparts in the presence of just about any skew at all, dramatically so in cases of high skew. <<ETX>>
Weaver syndrome with neuroblastoma and cardiovascular anomalies.

We report on an infant with Weaver syndrome, neoplasia and cardiovascular anomalies. Stage 4S neuroblastoma underwent spontaneous resolution. Three neoplasms have been reported in Weaver syndrome: another stage 4S neuroblastoma [Muhonen and Menezes, 1990: J Pediatr 116:596-599], an ovarian endodermal sinus tumor [Derry et al., 1999: J Med Genet 36:725-728], and a sacrococcygeal teratoma [Kelly et al., 2000: Am J Med Genet 95:492-495]. No case was associated with cardiovascular anomalies. Our patient had VSD and PDA, and although several other patients with Weaver syndrome have had cardiovascular anomalies, they were shown not to have neoplasia.
Severe Acute Respiratory Syndrome Coronavirus as an Agent of Emerging and Reemerging Infection

SUMMARY Before the emergence of severe acute respiratory syndrome (SARS) coronavirus (SARS-CoV) in 2003, only 12 other animal or human coronaviruses were known. The discovery of this virus was soon followed by the discovery of the civet and bat SARS-CoV and the human coronaviruses NL63 and HKU1. Surveillance of coronaviruses in many animal species has increased the number on the list of coronaviruses to at least 36. The explosive nature of the first SARS epidemic, the high mortality, its transient reemergence a year later, and economic disruptions led to a rush on research of the epidemiological, clinical, pathological, immunological, virological, and other basic scientific aspects of the virus and the disease. This research resulted in over 4,000 publications, only some of the most representative works of which could be reviewed in this article. The marked increase in the understanding of the virus and the disease within such a short time has allowed the development of diagnostic tests, animal models, antivirals, vaccines, and epidemiological and infection control measures, which could prove to be useful in randomized control trials if SARS should return. The findings that horseshoe bats are the natural reservoir for SARS-CoV-like virus and that civets are the amplification host highlight the importance of wildlife and biosecurity in farms and wet markets, which can serve as the source and amplification centers for emerging infections.
Resistive Switching Device Technology Based on Silicon Oxide for Improved ON–OFF Ratio—Part II: Select Devices

The cross-point architecture for memory arrays is widely considered as one of the most attractive solutions for storage and memory circuits thanks to simplicity, scalability, small cell size, and consequently high density and low cost. Cost-scalable vertical 3-D cross-point architectures, in particular, offer the opportunity to challenge Flash memory with comparable density and cost. To develop scalable cross-point arrays, however, select devices with sufficient ON–OFF ratio, current capability, and endurance must be available. This paper presents a select device technology based on volatile resistive switching with Cu and Ag top electrode and silicon oxide (SiO<sub><italic>x</italic></sub>) switching materials. The select device displays ultrahigh resistance window and good current capability exceeding 2 MAcm<sup>−2</sup>. Retention study shows a stochastic voltage-dependent ON–OFF transition time in the <inline-formula> <tex-math notation="LaTeX">${10}~\mu \text{s}$ </tex-math></inline-formula>–1 ms range, which needs to be further optimized for fast memory operation in storage class memory arrays.
Measurement system for quality factors and quantities of electric energy with possible wavelet technique utilization

The computer based complex is capable of measuring quality factors and the quantity of electric energy at power converters and industrial mains. Measurements are done in correspondence with international and special Russian standards. A wavelet packet based algorithm for power quality factors measurement and active filtering is proposed. The interface part on basis of DSP processor for deriving and preliminary handling measured signals directly accepts current and voltages from transducers. All data are transferred to the PC via a standard serial interface.