Miracle-dz/UniFAR-FTUs huggingface dataset:
Phase Noise in Asynchronous SC-FDMA Systems: Performance Analysis and Data-Aided Compensation

Carrier frequency offset (CFO) and phase noise (PN) are major oscillator impairments in direct-conversion transceivers, and single-carrier frequency-division multiple access (SC-FDMA) is the uplink transmission scheme in the Long-Term Evolution (LTE) standard. We derive a new analytical expression for the normalized mean square error (NMSE) in asynchronous SC-FDMA systems under CFO and joint transmit-receive PN. The derived NMSE expression reveals an interesting cross-layer relationship between the subcarrier mapping scheme at the medium-access-control layer and the immunity to CFO and PN at the physical layer. Furthermore, we propose an iterative reduced-complexity joint decoding and PN compensation scheme that does not require any pilots in PN tracking and exploits the low-pass nature of the PN process without assuming a specific PN model. Simulation results show the effectiveness of our proposed digital baseband compensation scheme in PN mitigation.
A New Loopback Method of All-Optical Label Processing for Label Bit Scalability

We propose and demonstrate a new method to expand the label bit in an all-optical label processor with a multistage switching fabric. It utilizes a loopback configuration, where a probe pulse is fed back to the same switching fabric with wavelength conversion and the output probe pulse is discriminated by arrayed waveguide gratings. The feasibility of the loopback scheme was demonstrated for the two-bit pattern in the two-bit label using a single semiconductor optical amplifier-based Mach-Zehnder interferometer 1x2 all-optical switch. It is effective to reduce the number of switching elements and will expand the number of label bits.
Parkinsons disease classification using wavelet transform based feature extraction of gait data

Parkinsons disease (PD) is one of the most common degenerative disease of the nervous system. In this paper, a method is proposed to distinguish PD patients from healthy people using wavelet transform based feature extraction of gait characteristics. This approach could help the physicians for early diagnosis of the disease and to start the treatment at the beginning stage of the disease. Wavelet Transform (WT) of preprocessed gait data was performed and statistical features were extracted from these coefficients. Artificial Neural Network (ANN) based classifier has been used in this paper and performance of the model with various efficient Back Propagation (BP) algorithms were evaluated. A comparative study on classification using different classifiers such as Support Vector Machine (SVM), Naive Bayes classifier has also been done. Experimental results have demonstrated very good performance on classifying PD patients.
Leveraging Systematic Unidirectional Error-Detecting Codes for fast STT-MRAM cache

Spin Transfer Torque Magnatic Random Access Memory (STT-MRAM) has the potential to become a universal memory technology due to its various attractive features such as non-volatility, high density, CMOS compatibility and zero leakage. However, STT-MRAM suffers from high write latency and poor reliability compared to SRAM. This is primarily due to its stochastic nature of switching, which makes it not suitable for fast caches such as L1. The use of robust Error Correction Coding (ECC) with multiple bit correction capability to optimize the write margin and reliability results in large decoding latencies and large number of check bits. In this paper, we propose a new solution to exclude the high costs of using ECC in terms of decoding latency and storage overhead to be able to use STT-MRAM for fast caches. We exploit the fact that STT-MRAM poses asymmetric errors due to the nature of Magnetic Tunnel Junction (MTJ) cell, which makes ECC a pessimistic solution to address such errors. Therefore, efficient Systematic Unidirectional Error-Detecting Code (SEDC) is proposed to be adopted instead of conventional ECC combined with proper cache access mechanism to fetch correct data in case of error detection. Our proposed approach provides orders of magnitude better reliability and considerable performance improvement that makes STT-MRAM viable for fast-caches compared to the existing solutions.
APEM: Automatic paraphrase evaluation using morphological analysis for the Korean language

Paraphrase evaluation is used to determine whether two input sentences share a same meaning. The automatic analysis for paraphrase evaluation technology has a potential use in the area of information retrieval technology since correctly paraphrased sentences can be used as alternative input sentences in the retrieval process. In this paper, we suggest an automatic paraphrase evaluation method using morphological analysis (APEM), which is suitable for the Korean language. Using APEM and its variations, we present preliminary results on how our automatic evaluation scores compare to the existing method of bilingual evaluation understudy (BLEU).
Détection de changements structurels sur des images satellite haute r ésolution. Application en milieu forestier

Brutal and massive environmental changes, generally affecting large areas, have to be localized as rapidly as possible in order to manage the immediate impact of this type of events on ecosystems and prevent related risks. Therefore, it is necessary Traitement du signal – n 6/2013, 401-429 402 TS. Volume 30 – n 6/2013 to develop efficient methods for change mapping. A quasi-unsupervised region-based method for change detection in high resolution satellite images is proposed. An automatic feature selection optimizes image segmentation and classification via an original calibration-like procedure. A binary classification enables then to separate altered from intact areas thanks to a new spatio-temporal descriptor based on the level of fragmentation of obtained regions. Both segmentation and classification involve a mean shift procedure. The method was assessed on forest environment using a Formosat-2 multispectral satellite image pair acquired before and after a major storm to identify and map the damages. MOTS-CLÉS : cartographie, classification de régions, détection de changements, image multispectrale, segmentation, sélection d’attributs.
Dynamic Identification of Shared Transactional Locations ( Extended Abstract )

Hardware TM systems execute user code within an atomic{} delimiter without any instrumentation. Software transactional memory systems require complex sequences of operations to be executed on the memory locations shared by transactions, but typically not on unshared locations, even if these are accessed within the scope of a transaction. Lack of identification of such instructions introduces a large performance overhead. The problem of identifying if an instruction is accessing a location which is shared, even if these locations are declared in advance, is a dynamic runtime problem, i.e. not solvable effectively through the use of a compiler. In the spirit of the new trend towards hardware assisted STMs (HASTMs), we show how one can add a simple hardware element, the Virtual Memory Filter (VMF), that provides dynamic identification and execution of STM functions on transactionally shared locations. The VMF will provide STMs with the simplicity of HTMs: atomic{} code can execute “as is. ” Its introduction into commercial CPUs will eliminate the need to use a compiler to transactify user code, a benefit currently claimed only by full fledged HTM systems. Our preliminary empirical evidence shows that the VMF component has virtually no performance penalty.
Short Term Prediction of PM 10 Concentrations Using Seasonal Time Series Analysis

Air pollution modelling is one of an important tool that usually used to make short term and long term prediction. Since air pollution gives a big impact especially to human health, prediction of air pollutants concentration is needed to help the local authorities to give an early warning to people who are in risk of acute and chronic health effects from air pollution. Finding the best time series model would allow prediction to be made accurately. This research was carried out to find the best time series model to predict the PM10 concentrations in Nilai, Negeri Sembilan, Malaysia. By considering two seasons which is wet season (north east monsoon) and dry season (south west monsoon), seasonal autoregressive integrated moving average model were used to find the most suitable model to predict the PM10 concentrations in Nilai, Negeri Sembilan by using three error measures. Based on AIC statistics, results show that ARIMA (1, 1, 1) x (1, 0, 0)12 is the most suitable model to predict PM10 concentrations in Nilai, Negeri Sembilan.
Disturbance opens recruitment sites for bacterial colonization in activated sludge

Little is known about the role of immigration in shaping bacterial communities or the factors that may dictate success or failure of colonization by bacteria from regional species pools. To address these knowledge gaps, the influence of bacterial colonization into an ecosystem (activated sludge bioreactor) was measured through a disturbance gradient (successive decreases in the parameter solids retention time) relative to stable operational conditions. Through a DNA sequencing approach, we show that the most abundant bacteria within the immigrant community have a greater probability of colonizing the receiving ecosystem, but mostly as low abundance community members. Only during the disturbance do some of these bacterial populations significantly increase in abundance beyond background levels and in few cases become dominant community members post-disturbance. Two mechanisms facilitate the enhanced enrichment of immigrant populations during disturbance: 1) the availability of resources left unconsumed by established species and 2) the increased availability of niche space for colonizers to establish and displace resident populations. Thus, as a disturbance decreases local diversity, recruitment sites become available to promote colonization. This work advances our understanding of microbial resource management and diversity maintenance in complex ecosystems.
Comparison between the Effect of Cow Ghee and Butter on Memory and Lipid Profile of Wistar Rats.

INTRODUCTION The traditional texts designate Cow Ghee as Medhya Rasayana, beneficial for mental alertness and memory. There has been concern about increased risk of cardiovascular disease due to its high percentage of saturated fatty acids in ghee. Amongst all edible fats, nutrition composition of cow ghee and butter is comparatively similar. Hence we had planned a study to assess effect of cow ghee on memory and lipid profile. AIM So the aim of this study is to assess the effect of cow ghee on memory and lipid profile. MATERIALS AND METHODS Nootropic activity of test drugs was assessed by Elevated Plus Maze (EPM) and Morris Water Maze (MWM) model. Rats were divided into four groups namely control, Piracetam, cow ghee and butter. All drugs were given orally for 21 days. Transfer latency was measured in EPM model and probe test was done in MWM model. RESULTS Cow ghee and butter group showed no significant effect on memory in EPM and MWM model. There was reduction in weight of animals in Cow Ghee group and increase in weight with Butter. In both the models there was a significant increase in Triglyceride (TG) and Very Low Density Lipoproteins (VLDL) levels of rats in butter groups and increase in TG and VLDL of rats with cow ghee in EPM model. CONCLUSION The result of experiment suggests that no beneficial effect cow ghee and butter on cognition was seen. However, ghee is relatively safer when compared to Butter in considering lipid profile.
A coordination method for multiple biomimetic robotic fish box-pushing

This paper presents a novel method for coordinating multiple biomimetic robotic fish in box-pushing task. Having successfully developed a robotic fish prototype, and built a platform of multiple robotic fish coordinated control system to study coordinated control strategies for multiple robotic fish, we step further to study coordination problems of multiple robotic fish in unstructured and dynamic environments. To simplify the difficulty of path planning and action decision when a fish is approaching the box, we employ a situated-behavior design method which is based on situations, and for each situation a specific behavior is elaborately designed. On dealing with the synchronization and coordinated pushing problems in the particular underwater environment, fuzzy logic method is adopted for motion planning of the fish. Experimental results of box-pushing performed by two robotic fish validate the effectiveness of the proposed method.
An automatic system for the estimation of generalized arteriolar narrowing in retinal images

Generalized arteriolar narrowing, an eye fundus sign often seen in patients affected by hypertensive or diabetic retinopathies, is usually expressed by the arteriolar-to-venular diameter ratio (AVR), a numerical parameter derived from caliber measurements on specific vessels. We developed a system to compute AVR in a totally automatic way. Images are at first enhanced to highlight the vessel network, which is then traced by a vessel tracking algorithm. From the detected vessel structure, the position of the optic disc is derived and the region inside which the AVR data are to be measured is determined. Vessels within this region are labeled as either arteries or veins and their caliber is estimated from tracing data. From these values, the AVR parameter is computed. Results provided by this system have been compared with manually derived AVR values on 14 eye fundus images from normal and hypertensive subjects.
The treatment of the myelodysplastic syndromes

The article by Ferrara et al. in this issue of Cancer describes the treatment of patients with poor prognosis myelodysplastic syndromes (MDS) using intensive remission induction chemotherapy followed by peripheral blood stem cell transplantation for patients age , 60 years. Thirty-two patients with refractory anemia with excess of blasts in transformation (RAEBt) and 10 patients with refractory anemia with excess of blasts (RAEB) were treated, with an overall complete remission rate of 74% (90% for patients age , 60 years and 56% for patients ages 60 –75 years). The median survival for all patients was 13 months with a median disease free survival (DFS) of 18 months. Because the usual median survivals for patients with these types of MDS are 6 months and 2 years, respectively, these results suggest that treatment led to improved survival. Similarly, other investigators have reported complete remission rates in this subset of patients ranging from 45–70% with remission rates being higher in patients age , 40 years than in patients age . 40 years and responses, both in terms of remission induction outcome and duration, which were substantially worse in MDS characterized by cytogenetic abnormalities usually associated with a poor prognosis. Before concluding that intensive remission induction therapy results in improved survival, it should be recognized that the treated patients were a select group. In the study by Ferrara et al., patients age . 75 years were excluded from treatment and of 74 consecutive patients with high risk MDS, 41% were excluded from treatment for a variety of reasons. Although no direct comment can be made regarding the possible role of transplantation in the study by Ferrara et al., other reports are available that can help put the role of transplantation into perspective. Among 93 MDS patients who received an allograft, the 5-year actuarial DFS was 41%, with recurrences occurring in 28% of patients and a nonrecurrence mortality rate of 43%. Only patients whose bone marrow contained $ 5% blasts recurred (51%). Patients age , 40 years and who had , 5% blasts in their bone marrow had a DFS of 62% at 4 years. A more recent assessment by the same group of 251 MDS patients who were underwent bone marrow transplantation found an overall DFS rate of 40% with a recurrence rate of 18%. Assessment of transplantation outcome on the basis of the Inter1893
syngo TWIST for Dynamic Time-Resolved MR Angiography

92 www.siemens. com/magnetom-world MAGNETOM FLASH 3/2006 Introduction Siemens, a leader in advanced engineering as well as applications development, has made 3D dynamic imaging available in the late 90s for the MAGNETOM Vision. The speed of dynamic imaging got an extra boost with the strong 40 mT/m gradients available with the MAGNETOM Sonata. Since then, dynamic imaging has gone through several changes and improvements, including the expansion of parallel imaging with the Tim (Total imaging matrix) technology, and more recently, the new k-space coverage now available with the syngo TWIST technique. syngo TWIST achieves significant improvements in temporal and spatial resolution and faster tracking of dynamic processes relative to the other versions of dynamic imaging introduced earlier. syngo TWIST offers a practical, flexible, and elegant way to perform sub-second, time-sequential 3D measurements, both at 1.5T an 3T field strengths. This can be used in combination with contrast injection to provide dynamic clinical information, including the evaluation of abnormal vascular anatomy as well as vascular hemodynamics, and perfusion measurements. Common applications include examining a range of vascular pathologies as well as other dynamic processes such as vocal cord movement, speech formasyngo TWIST for Dynamic Time-Resolved MR Angiography
Preference Communication and Leader Selection in Group Decision-Making

We conduct a laboratory experiment to study the effects of preference communication and leader selection mechanisms in group decision-making. In a setting where all members of a group get the same payoff based on the group leader’s decision of how much risk to take, we explore the effects of two treatment variables: (1) whether group members can communicate their preferences to the leader, (2) whether the leader is exogenously appointed or voluntarily selfselects into the position. We find that the leader selection mechanism crucially affects the integration of group preferences into the leader’s decision: the communicated preferences have a significant effect on the actual group decision only when the leader is appointed. We also find that preference communication by non-leaders is frequently strategic.
7-core 2-mode fibers with large Aeff to simultaneously realize “3M”

7-core 2-mode fibers with large Aeff of 170μm<sup>2</sup> (LP01 mode), and 250μm<sup>2</sup> (LP11 mode) were successfully designed and fabricated. We measured optical properties, and confirmed large Aeff and low cross-talks.
Identification and allelic dissection uncover roles of lncRNAs in secondary growth of Populus tomentosa

Abstract Long non-coding RNAs (lncRNAs) function in various biological processes. However, their roles in secondary growth of plants remain poorly understood. Here, 15,691 lncRNAs were identified from vascular cambium, developing xylem, and mature xylem of Populus tomentosa with high and low biomass using RNA-seq, including 1,994 lncRNAs that were differentially expressed (DE) among the six libraries. 3,569 cis-regulated and 3,297 trans-regulated protein-coding genes were predicted as potential target genes (PTGs) of the DE lncRNAs to participate in biological regulation. Then, 476 and 28 lncRNAs were identified as putative targets and endogenous target mimics (eTMs) of Populus known microRNAs (miRNAs), respectively. Genome re-sequencing of 435 individuals from a natural population of P. tomentosa found 34,015 single nucleotide polymorphisms (SNPs) within 178 lncRNA loci and 522 PTGs. Single-SNP associations analysis detected 2,993 associations with 10 growth and wood-property traits under additive and dominance model. Epistasis analysis identified 17,656 epistatic SNP pairs, providing evidence for potential regulatory interactions between lncRNAs and their PTGs. Furthermore, a reconstructed epistatic network, representing interactions of 8 lncRNAs and 15 PTGs, might enrich regulation roles of genes in the phenylpropanoid pathway. These findings may enhance our understanding of non-coding genes in plants.
Identification of a Mycobacterium tuberculosis Gene That Enhances Mycobacterial Survival in Macrophages

ABSTRACT Intracellular survival plays a central role in the pathogenesis ofMycobacterium tuberculosis. To identify M. tuberculosis genes required for intracellular survival within macrophages, an M. tuberculosis H37Rv plasmid library was constructed by using the shuttle vector pOLYG. This plasmid library was electroporated into Mycobacterium smegmatis 1-2c, and the transformants were used to infect the human macrophage-like cell line U-937. Because M. smegmatis does not readily survive within macrophages, any increased intracellular survival is likely due to cloned M. tuberculosis H37Rv DNA. After six sequential passages of M. smegmatis transformants through U-937 cells, one clone (p69) was enriched more than 70% as determined by both restriction enzyme and PCR analyses. p69 demonstrated significantly enhanced survival compared to that of the vector control, ranging from 2.4- to 5.3-fold at both 24 and 48 h after infection. DNA sequence analysis revealed three open reading frames (ORFs) in the insert of p69. ORF2 (1.2 kb) was the only one which contained a putative promoter region and a ribosome-binding site. Deletion analysis of the p69 insert DNA showed that disruption of ORF2 resulted in complete loss of the enhanced intracellular survival phenotype. This gene was named the enhanced intracellular survival (eis) gene. By using an internal region of eis as a probe for Southern analysis,eis was found in the genomic DNA of various M. tuberculosis strains and of Mycobacterium bovis BCG but not in that of M. smegmatis or 10 other nonpathogenic mycobacterial species. Sodium dodecyl sulfate-polyacrylamide gel electrophoretic analysis showed that all M. smegmatis eis-containing constructs expressed a unique protein of 42 kDa, the predicted size of Eis. The expression of this 42-kDa protein directly correlated to the enhanced survival of M. smegmatis p69 in U-937 cells. These results suggest a possible role for eis and its protein product in the intracellular survival of M. tuberculosis.
Supernumerary marker chromosome 5 diagnosed by M-FISH in a child with congenital heart defect and unusual face

We describe a female patient with a small supernumerary marker chromosome (sSMC) present in mosaic and characterized in detail by fluorescence in situ hybridization (FISH) using all 24 human whole chromosome painting probes, multicolor banding (MCB) and subcentromere specific multicolor FISH (subcenM-FISH). The sSMC was demonstrated to be derived from chromosome 5 and the karyotype of our patient was as follows: 47,XX,+mar.ish r(5)(::p13.2∼p13.3→q11.2::) [60%]/46,XX [40%]. Partial trisomy for the proximal 5p and q chromosomal regions is a rare event. A critical region exists at 5p13 for the phenotype associated with duplication 5p. As far as we know, eight similar cases have been published up to now. We describe a new case which, to our knowledge, is the first characterized in such detail. The role of uniparental disomy (UPD) in cases of SMC is also discussed.