Miracle-dz/UniFAR-FTUs huggingface dataset:
Prévalence et facteurs de risque de douleurs post-opératoires persistantes après chirurgie de correction thoracique et scoliotique chez l’enfant communicant et non communicant

Objectif : l’objectif de cette etude etait d’evaluer la DCPO apres chirurgie majeure, comprenant la chirurgie thoracique et de la scoliose, chez l’enfant communicant et non communicant. Methodes: nous avons realise une etude observationnelle de cohorte prospective monocentrique, realisee chez des enfants de 6 a 18 ans, devant beneficier d’une chirurgie thoracique pour correction des pectus excavatum ou d’une chirurgie de correction de la scoliose. Nous avons etudie la presence de douleur 4 mois apres la chirurgie, en utilisant l’echelle d’evaluation numerique (EN) ≥ 3/10 chez les enfants communicants et l’echelle FLACC (Face Legs Activity Cry Consolability) ≥ 3/10 chez les enfants non communicants. L’ensemble des donnees peri operatoires concernant la chirurgie et l'anesthesie a ete recueilli. Resultats : il y a eu 66 enfants inclus dans l’etude, 33 enfants communicants et 4 non communicants pour une correction de la scoliose et 29 enfants pour une chirurgie thoracique. Vingt-huit (42%) des enfants souffraient de DCPO (EN ou FLACC ≥ 3/10), 4 mois apres la chirurgie, avec une douleur severe dans 25% des cas. Quatorze de ces enfants souffraient de douleurs chroniques neuropathiques. Ont ete identifies comme facteurs de risque de DCPO, l’intensite de la douleur au 3eme jour et le cumul de jours douloureux au retour a domicile. Conclusion : la DCPO pediatrique reste frequente et intense. Elle devrait etre recherchee systematiquement. Il serait necessaire d’elaborer un programme interdisciplinaire de suivi et de traitement de ces douleurs trop souvent negligees et sous traitees.
112 Gb/s 16-QAM OFDM for 80-km Data Center Interconnects Using Silicon Photonic Integrated Circuits and Kramers–Kronig Detection

In this paper, we report the first demonstration of using silicon photonic integrated circuits for 62 Gb/s 4-quadrature-amplitude-modulation (4-QAM) orthogonal frequency-division multiplexing (OFDM) and 112 Gb/s 16-QAM OFDM over an 80-km standard single-mode fiber (SSMF) transmission with the Kramers–Kronig (KK) direct detection. Single sideband optical signals are generated by two silicon micro-ring modulators, and directly detected by a single integrated germanium-on-silicon waveguide photodiode fabricated in a multi-project wafer run. The complex optical field can be fully re-constructed by KK detection after an 80-km SSMF transmission. The integrated transceivers with KK detection are suitable for future low-cost, low-power, and small-footprint data center interconnects in the short and medium reach.
The role of myeloablation for lymphoma.

To the Editor: Stiff et al. (Oct. 31 issue)1 report that autologous stem-cell transplantation improved progression-free survival among patients with high-intermediate-risk or high-risk aggressive non-Hodgkin’s lymphoma who had a response to induction therapy. This statement has limited clinical value because it does not translate into a survival advantage; moreover, only 150 patients in the study received cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) plus rituximab (R-CHOP). The estimated 2-year progression-free survival among these patients was 63% in the control group and 73% in the transplantation group (hazard ratio, 1.56; 95% confidence interval [CI], 0.92 to 2.63; P = 0.10). This 10-percentagepoint difference in progression-free survival is not statistically significant, because the study was highly underpowered to allow a meaningful comparison. According to international statistical standards, a sample size much larger than 150 patients would have been necessary. Furthermore, findings from other studies addressing the same question have been reported. German2 and French3 studies showed no difference in survival rates. An Italian study 4 showed an 11-percentage-point difference in progressionfree survival in favor of autologous stem-cell transplantation, but it did not show a benefit in overall survival. Taken together, the available data do not support the continued use of high-dose chemotherapy and autologous stem-cell transplantation as consolidation treatment in aggressive B-cell lymphoma in the rituximab era.
Examination of Burnout Levels of Athletes Studying at the Faculty of Sport Sciences

The aim of this study is to investigate burnout levels of athletes studying at the faculty of sports sciences. 250 students (female; 102, male; 148) who study in Ondokuz Mayıs University, at the Faculty of Sport Sciences and actively participate in sports life were included in the study. The 5-point Likert-type sports burnout scale developed by Raedeke and Smith (2001) and adapted to Turkish by Kelecek et al.(2016) was used to determine the burnout levels of the subjects. SPSS 22.0 program was used in the statistical analysis of the study. When the results of the study were examined, in gender, team and individual athletes status and in emotional / physical, declining sense of success in section variables, in none of the sensitization sub-dimensions no statistically significant difference was found (p>0.05). As a result, it is thought that the absence of significant difference in the levels of athletic burnout in the findings of the current research may be due to the subject groups’ actively continuing sports, studying at the same faculty and and therefore having the same intensity courses. However, in future researches, when examined with variables such as individually separation of branches, training densities, league levels they play and classes, it is thought that it may make a difference.
Genome-Wide Identification of Long Non-Coding RNAs and Their Regulatory Networks Involved in Apis mellifera ligustica Response to Nosema ceranae Infection

Long non-coding RNAs (lncRNAs) are a diverse class of transcripts that structurally resemble mRNAs but do not encode proteins, and lncRNAs have been proved to play pivotal roles in a wide range of biological processes in animals and plants. However, knowledge of expression pattern and potential role of honeybee lncRNAs response to Nosema ceranae infection is completely unknown. Here, we performed whole transcriptome strand-specific RNA sequencing of normal midguts of Apis mellifera ligustica workers (Am7CK, Am10CK) and N. ceranae-inoculated midguts (Am7T, Am10T), followed by comprehensive analyses using bioinformatic and molecular approaches. A total of 6353 A. m. ligustica lncRNAs were identified, including 4749 conserved lncRNAs and 1604 novel lncRNAs. These lncRNAs had low sequence similarities with other known lncRNAs in other species; however, their structural features were similar with counterparts in mammals and plants, including shorter exon and intron length, lower exon number, and lower expression level, compared with protein-coding transcripts. Further, 111 and 146 N. ceranae-responsive lncRNAs were identified from midguts at 7 day post inoculation (dpi) and 10 dpi compared with control midguts. 12 differentially expressed lncRNAs (DElncRNAs) were shared by Am7CK vs Am7T and Am10CK vs Am10T comparison groups, while the numbers of unique ones were 99 and 134, respectively. Functional annotation and pathway analysis showed the DElncRNAs may regulate the expression of neighboring genes by acting in cis. Moreover, we discovered 27 lncRNAs harboring eight known miRNA precursors and 513 lncRNAs harboring 2257 novel miRNA precursors. Additionally, hundreds of DElncRNAs and their target miRNAs were found to form complex competitive endogenous RNA (ceRNA) networks, suggesting these DElncRNAs may act as miRNA sponges. Furthermore, DElncRNA-miRNA-mRNA networks were constructed and investigated, the result demonstrated that part of DElncRNAs were likely to participate in regulating the material and energy metabolism as well as cellular and humoral immune during host responses to N. ceranae invasion. Finally, the expression pattern of 10 DElncRNAs was validated using RT-qPCR, confirming the reliability of our sequencing data. Our findings revealed here offer not only a rich genetic resource for further investigation of the functional roles of lncRNAs involved in A. m. ligustica response to N. ceranae infection, but also a novel insight into understanding host-pathogen interaction during microsporidiosis of honeybee.
A Novel Mini-LVDS Receiver in 0.35-um CMOS

This paper presents the design of receiver circuits for flat-plane application. Due to the differential transmission technique and the low voltage swing, mini-LVDS (low-voltage differential signaling) allows high transmission speeds and low power consumption at the same time. In the proposed receiver, high transmission speed with the minimum common-mode and differential voltage at the input for mini-LVDS application was achieved. The circuit was designed in a 3.3-V 0.35- mum CMOS technology, and the transmission operations is more than 500 Mb/s with random data patterns. The total power consumption is 3.5 mW.
Broadband 1.7–2.8 GHz high-efficiency (58%), high-power (43 dBm) Class-BJ GaN power amplifier including package engineering

In this paper a broadband high-efficiency Class-BJ GaN HEMT-PA for wireless communication applications is realized. Influences of packaging and bond wires on the PA performance are investigated in order to demonstrate and use accurate package models. A novel optimization of bond wires for packaged powerbars is therefore performed and, subsequently a fully characterized PA is effectively designed. For the fully assembled PA module, measurement results demonstrated targeted broadband performance reaching approximately 50% operation bandwidth in the frequency range 1.7 - 2.8 GHz with 52 - 59% PAE, 58 - 66% drain efficiency and 43 - 44.5 dBm delivered output power while maintaining over 10 dB of GT.
Population genetic analysis reveals a geographically limited transition zone between two genetically distinct Atlantic salmon lineages in Norway

Abstract Atlantic salmon is characterized by a high degree of population genetic structure throughout its native range. However, while populations inhabiting rivers in Norway and Russia make up a significant proportion of salmon in the Atlantic, thus far, genetic studies in this region have only encompassed low to modest numbers of populations. Here, we provide the first “in‐depth” investigation of population genetic structuring in the species in this region. Analysis of 18 microsatellites on >9,000 fish from 115 rivers revealed highly significant population genetic structure throughout, following a hierarchical pattern. The highest and clearest level of division separated populations north and south of the Lofoten region in northern Norway. In this region, only a few populations displayed intermediate genetic profiles, strongly indicating a geographically limited transition zone. This was further supported by a dedicated cline analysis. Population genetic structure was also characterized by a pattern of isolation by distance. A decline in overall genetic diversity was observed from the south to the north, and two of the microsatellites showed a clear decrease in number of alleles across the observed transition zone. Together, these analyses support results from previous studies, that salmon in Norway originate from two main genetic lineages, one from the Barents–White Sea refugium that recolonized northern Norwegian and adjacent Russian rivers, and one from the eastern Atlantic that recolonized the rest of Norway. Furthermore, our results indicate that local conditions in the limited geographic transition zone between the two observed lineages, characterized by open coastline with no obvious barriers to gene flow, are strong enough to maintain the genetic differentiation between them.
Approximating the smallest k‐edge connected spanning subgraph by LP‐rounding

The smallest k‐ECSS problem is, given a graph along with an integer k, find a spanning subgraph that is k‐edge connected and contains the fewest possible number of edges. We examine a natural approximation algorithm based on rounding an LP solution. A tight bound on the approximation ratio is 1 + 3/k for undirected graphs with k > 1 odd, 1 + 2/k for undirected graphs with k even, and 1 + 2/k for directed graphs with k arbitrary. Using iterated rounding improves the first upper bound to 1 + 2/k. On the hardness side we show that for some absolute constant c > 0, for any integer k ≥ 2 (k ≥ 1), a polynomial‐time algorithm approximating the smallest k‐ECSS on undirected (directed) multigraphs to within ratio 1 + c/k would imply P = NP. © 2008 Wiley Periodicals, Inc. NETWORKS, 2009
Modularity clustering on trees

Network (or graphs) are often used to represent complex systems in a variety of fields. Tipically, the set of vertices of the graph corresponds to the set of entities under study and the edges represent relations holding for pairs of vertices. The analysis of networks is so gaining more and more attention, specially the analysis devoted to the detection of clusters, or communities. Clusters correspond in fact to subgroups of entities among which strong relations exist. In this paper we are particularly interested in clustering problems in which the underlying graph is a tree T = (V,E). Trees are undirected graphs in which any two vertices are connected by exactly one simple path. Clustering on trees [3] arises in a variety of applications, such as phylogenetic analysis in biological classification and the analysis of communication or distribution networks which exibit a tree-like structure.
A Random Walk Tensor Model for Heterogeneous Network Entity Classification

Heterogeneous network entity classification is to predict the labels of entities in a heterogeneous network which consists of multiple types of relations and multiple types of entities. The existing studies have shown that relations information is critical for improving entity classification performance. The relation information is often exploited by clustering the entities into groups based on relation density or constructing relation features by counting the number of different relations. However, these methods only consider the relation information but neglect the importance of different relations in the network. In practice, different relations may have different degrees of importance w.r. t different entities. To this end, we propose a Random walk Tensor Model (RTM) to reveal the relation importance and classify the entities in the heterogeneous network, simultaneously. In RTM, the heterogeneous network is represented as a multi-relational network using a three-way tensor. The tensor is also used to compute the transition probability for the random walk among entities. We build a Markov chain model and use an iterative algorithm to solve the Markov chain equations in the model to obtain the random walk stationary distributions and compute the entity classification and relation ranking results based on such distributions. The theoretical analyses are given to show the rationality and interpretability of the model. The experimental results demonstrate that the RTM can achieve superior classification performance compared with several state-of-the-art methods and obtain a reasonable relation ranking.
New Distance Concept and Graph Theory Approach for Certain Coding Techniques Design and Analysis

Abstract A New graph distance concept introduced for certain coding techniques helped in their design and analysis as in the case of distance-preserving mappings and spectral shaping codes. A graph theoretic construction, mapping binary sequences to permutation sequences and inspired from the k-cube graph has reached the upper bound on the sum of the distances for certain values of the length of the permutation sequence. The new introduced distance concept in the k-cube graph helped better understanding and analyzing for the first time the concept of distance-reducing mappings. A combination of distance and the index-permutation graph concepts helped uncover and verify certain properties of spectral null codes, which were previously difficult to analyze.
Highly integrated S and C-band internally-matched Quasi-MMIC power GaN devices

This paper presents recent results on highly integrated internally-matched Gallium Nitride transistors in S and C-band. The concept and the advantages of “Quasi MMIC” devices are described, showing the high potentialities for performance improvements and cost reductions. Using Gallium Arsenide based passive MMICs for input and/or output matching, more than 50W has been obtained at S-band with more than 55% PAE from 2.9GHz to 3.5GHz and more than 45% PAE at C-band @ 6.2GHz.
Hyperspectral anomaly detection algorithm based on non-negative sparsity score estimation

Hyperspectral anomaly detection, as an important application of hyperspectral remote sensing, is widely used in mineral exploration, environmental monitoring, military reconnaissance, etc. The anomalies in hyperspectral image mainly refer to the spectral anomalies caused by the reflection or radiation of some special objects. They have the characteristics of small scales, no prior information, and low probability of occurrence. Such anomalies in the military, agriculture, geology and other fields often contain much important information and has great application value. The sparsity score estimation algorithm is a global algorithm with high stability but as well as high false alarm rate. In this paper, we propose a hyperspectral anomaly detection algorithm based on non-negative sparsity score estimation. Firstly, the initial dictionary is obtained by K-SVD algorithm. After the sparse representation model of hyperspectral image is generated by orthogonal matching pursuit algorithm, dictionary atoms and corresponding coefficients are updated through singular value decomposition of the error term, then the optimization is achieved by successive iteration. Secondly, the nonnegative constraint condition is introduced into the sparse representation model, and the non-negative sparse coefficient is solved by the non-negative sparse coding. Finally, the non-negative sparse coefficients are used to calculate the atom usage probability, so as to infer whether the corresponding image pixels are anomaly or not. The experiments conducted on hyperspectral images show that the proposed method is superior to some typical methods, which has a lower false alarm rate while remains the accuracy.
Leaf Decoction of Mulberry, Morus alba (L.) for management of Streptozotocin Induced Diabetes in Brown Rat, Rattus norvegicus (L.)

The mulberry is often tried in order to help treat diabetes. It is also tried for treating high cholesterol levels, high blood pressure, the common cold and its symptoms, muscle and joint pain such as from arthritis, constipation, dizziness, ringing in the ears, hair loss, and premature graying. The leaves; bark and the fruits of Mulberry, Morus alba (L.) deserve appreciable medicinal potential. Therefore, tree of mulberry exert a therapeutic influence. The objectives of the present attempt were to analyze the effect of decoction of leaves of mulberry for treating streptozotocin-induced diabetic brown rat, Rattus norvegicus (L.). The physiological, biochemical and histological parameters were used for analysis. Induction of diabetes in experimental animals was carried out through giving the injection of streptozotocin chemical. The dosages of this streptozotocin chemical compound utilized in the attempt was seventy milligram per kilogram weight of the experimental animal. The streptozotocin was well mixed in the buffer of citrate, pH of which was 4.5. The intraperitoneal (IP) injection of streptozotocin was given to the experimental animals, brown rat, Rattus norvegicus (L) to one week prior to the treatment of decoction of leaves of mulberry. Streptozotocin exert diabetic influence through distinct characters. These characters include: polydyspsia, excessive urination, excessive ingestion, excessive level of glucose in blood, excessive level of triglycerides in blood and histopathological modifications in the pancreatic, hepatic and renal tissues. The water treated individuals were provided 100 ml of water for each day. Experimental animals in treated group were provided with 100 ml of decoction of leaves of mulberry, Morus alba (L), strength of which was twenty grams per liter. This schedule of treatment was continued for 14 days. Treating the diabetic experimental animals with mulberry leaf decoction for continuous 14 days was found resulted into lowering the glucose levels in the blood. It was also resulted into restraint glycogen loss in liver, and alteration in histological structure of pancreatic tissues and renal tissues. The Administration of mulberry leaf leaf decoction at the rate twenty grams per liter was found to be able to regulate the altered metabolic processes. The demonstrates the medicinal use of mulberry leaf decoction to control or management of diabetes. Mulberry, Morus alba (L.) should be explored as medicinal plant to be used to control the diabetes. Mulberry leaves could be a promising therapeutic option for modulating diabetic risks. However, further investigations should be performed to substantiate the potential of mulberry leaves in practical uses.
The Potential risk factors of Ischemic stroke incidence and mortality

Ischemic stroke is always more common than hemorrhagic type. Approximately, 80% of the risk factors involved in the pathogenesis of stroke are modifiable. Identification and correction of these risk factors contributes to reducing the risk of stroke incidence, subsequent clinical consequences, disabilities, costs, and mortality of these patients. Materials & Methods: In this retrospective cross-sectional study, 1,572 patients with ischemic stroke hospitalized during 2008-2015 were investigated. Patients data was collected in a questionnaire containing demographic information, drug and disease history, laboratory findings and events during hospitalization and follow-up period. Results: Among 1,572 patients, 744 (47.3%) were male and 828 (52.7%) female. The number of patients who died during hospitalization was 252 (16%) and 453 (34.3%) died during the follow-up period. The most important modifiable risk factors for stroke incidence included smoking, hypertension, dyslipidemia, and diabetes mellitus. Also, the use of aspirin in both genders and statin consumption in males was associated with decreased rate of mortality. A series of laboratory findings, such as increased urea, creatinine, fasting blood glucose, cholesterol and neutrophil count, was associated with an increased risk of mortality as well as, decreased lymphocyte count, increased RBC, hemoglobin, platelet count, and triglyceride were associated with a reduction in stroke mortality. Conclusion: This study confirms the results of previous studies about modifiable risk factors of ischemic stroke incidence such as diabetes, hypertension, dyslipidemia, and smoking. Laboratory findings such as neutrophil, lymphocyte, platelet count, hemoglobin, urea, RBC, lipid and glucose profiles associated with ischemic stroke mortality. Life style modification and preventive medication such as aspirin and statins reduce the risk of stroke incidence, disability and mortality of ischemic stroke in the community
Fully Automatic Computation of Diagonal Loading Levels for Robust Adaptive Beamforming

The main drawback of the conventional diagonal loading (DL) approaches is that there is no clear guideline on how to choose the DL level reliably or how to select user parameters appropriately. An algorithm that can be used to compute the DL level completely automatically from the given data without the need of specifying any user parameter is considered. In this algorithm an enhanced covariance matrix estimate obtained via a shrinkage method, instead of the sample covariance matrix, is used in the standard Capon beamforming formulation. The performance of the resulting beamformer is illustrated via numerical examples, and it is compared with several other adaptive beamformers.