Miracle-dz/UniFAR-FTUs huggingface dataset:
Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation

This paper provides a systematic approach to the problem of nondata aided symbol-timing estimation for linear modulations. The study is performed under the unconditional maximum likelihood framework where the carrier-frequency error is included as a nuisance parameter in the mathematical derivation. The second-order moments of the received signal are found to be the sufficient statistics for the problem at hand and they allow the provision of a robust performance in the presence of a carrier-frequency error uncertainty. We particularly focus on the exploitation of the cyclostationary property of linear modulations. This enables us to derive simple and closed-form symbol-timing estimators which are found to be based on the well-known square timing recovery method by Oerder and Meyr. Finally, we generalize the OM method to the case of linear modulations with offset formats. In this case, the square-law nonlinearity is found to provide not only the symbol-timing but also the carrier-phase error.
From crystal and NMR structures, footprints and cryo-electron-micrographs to large and soft structures: nanoscale modeling of the nucleosomal stem

The interaction of histone H1 with linker DNA results in the formation of the nucleosomal stem structure, with considerable influence on chromatin organization. In a recent paper [Syed,S.H. , Goutte-Gattat,D. , Becker,N. , Meyer,S. , Shukla,M.S., Hayes,J.J., Everaers,R. , Angelov,D. , Bednar,J. and Dimitrov,S. (2010) Single-base resolution mapping of H1-nucleosome interactions and 3D organization of the nucleosome. Proc. Natl Acad. Sci. USA, 107, 9620–9625], we published results of biochemical footprinting and cryo-electron-micrographs of reconstituted mono-, di- and tri-nucleosomes, for H1 variants with different lengths of the cationic C-terminus. Here, we present a detailed account of the analysis of the experimental data and we include thermal fluctuations into our nano-scale model of the stem structure. By combining (i) crystal and NMR structures of the nucleosome core particle and H1, (ii) the known nano-scale structure and elasticity of DNA, (iii) footprinting information on the location of protected sites on the DNA backbone and (iv) cryo-electron micrographs of reconstituted tri-nucleosomes, we arrive at a description of a polymorphic, hierarchically organized stem with a typical length of 20 ± 2 base pairs. A comparison to linker conformations inferred for poly-601 fibers with different linker lengths suggests, that intra-stem interactions stabilize and facilitate the formation of dense chromatin fibers.
LEOPARD Syndrome: Clinical Features and Gene Mutations

The RAS/MAPK pathway proteins with germline mutations in their respective genes are associated with some disorders such as Noonan, LEOPARD (LS), neurofibromatosis type 1, Costello and cardio-facio-cutaneous syndromes. LEOPARD is an acronym, mnemonic for the major manifestations of this disorder, characterized by multiple lentigines, electrocardiographic abnormalities, ocular hypertelorism, pulmonic stenosis, abnormal genitalia, retardation of growth, and sensorineural deafness. Though it is not included in the acronym, hypertrophic cardiomyopathy is the most frequent cardiac anomaly observed, representing a potentially life-threatening problem in these patients. PTPN11, RAF1 and BRAF are the genes known to be associated with LS, identifying molecular genetic testing of the 3 gene mutations in about 95% of affected individuals. PTPN11 mutations are the most frequently found. Eleven different missense PTPN11 mutations (Tyr279Cys/Ser, Ala461Thr, Gly464Ala, Thr468Met/Pro, Arg498Trp/Leu, Gln506Pro, and Gln510Glu/Pro) have been reported so far in LS, 2 of which (Tyr279Cys and Thr468Met) occur in about 65% of the cases. Here, we provide an overview of clinical aspects of this disorder, the molecular mechanisms underlying pathogenesis and major genotype-phenotype correlations.
Prevalence of hypertension in the rural adult population of Osun State, southwestern Nigeria

Background The purpose of this study was to determine the prevalence of hypertension in two rural communities of Osun State, Nigeria. Methods A consenting adult population of the Alajue and Obokun rural communities in southwestern Nigeria that presented for the screening exercise participated in this community-based cross-sectional descriptive study. Two hundred and fifty-nine respondents aged older than 18 years completed a standardized, pretested, structured questionnaire as part of activities celebrating World Kidney Day and World Glaucoma Day in 2011. Anthropometric data and blood pressure were recorded, and the data were analyzed using the Statistical Package for Social Sciences version 17. Results The mean age of the respondents was 49.7 ± 1.6 years, 100 (38.6%) were males, 84 (32.4%) were farmers, and 111 (42.9%) were traders. The prevalence of hypertension was 13.16% (present in 34 respondents). Seventeen (6.6%) had isolated systolic hypertension, while 11 (4.2%) had isolated diastolic hypertension. Two hundred and thirty-six (91.1%) undertook daily exercise lasting at least 30 minutes and 48 (18.5%) had ever taken antihypertensive drugs on a regular basis. Four respondents (1.6%) claimed a family history of hypertension. The average body mass index (BMI) among respondents was 23.4 ± 4.9 kg/m2, 51 (19.6%) had a BMI of 25.0–29.9, and 30 (11.5%) had a BMI ≥ 30. A significant association existed between age older than 40 years and having hypertension (P < 0.05), while no relationship existed between age and BMI or between gender and hypertension (P > 0.05). Rates of older age and high BMI were significantly higher among hypertensives than among normotensives. Respondents with BMI ≥ 25 had at least a three times greater likelihood of developing hypertension than those with BMI < 25 (odds ratio 2.9, 95% confidence interval 0.007–0.056, P = 0.011). Conclusion The prevalence of hypertension is high in this study population and we recommend scaling up primary prevention efforts to reduce this in Nigerian communities.
Combination of Cyclopamine and Tamoxifen Promotes Survival and Migration of MCF-7 Breast Cancer Cells – Interaction of Hedgehog-Gli and Estrogen Receptor Signaling Pathways

Hedgehog-Gli (Hh-Gli) signaling pathway is one of the new molecular targets found upregulated in breast tumors. Estrogen receptor alpha (ERα) signaling has a key role in the development of hormone-dependent breast cancer. We aimed to investigate the effects of inhibiting both pathways simultaneously on breast cancer cell survival and the potential interactions between these two signaling pathways. ER-positive MCF-7 cells show decreased viability after treatment with cyclopamine, a Hh-Gli pathway inhibitor, as well as after tamoxifen (an ERα inhibitor) treatment. Simultaneous treatment with cyclopamine and tamoxifen on the other hand, causes short-term survival of cells, and increased migration. We found upregulated Hh-Gli signaling under these conditions and protein profiling revealed increased expression of proteins involved in cell proliferation and migration. Therefore, even though Hh-Gli signaling seems to be a good potential target for breast cancer therapy, caution must be advised, especially when combining therapies. In addition, we also show a potential direct interaction between the Shh protein and ERα in MCF-7 cells. Our data suggest that the Shh protein is able to activate ERα independently of the canonical Hh-Gli signaling pathway. Therefore, this may present an additional boost for ER-positive cells that express Shh, even in the absence of estrogen.
Distinct preplay of multiple novel spatial experiences in the rat

The activity of ensembles of hippocampal place cells represents a hallmark of an animal’s spatial experience. The neuronal mechanisms that enable the rapid expression of novel place cell sequences are not entirely understood. Here we report that during sleep or rest, distinct sets of hippocampal temporal sequences in the rat preplay multiple corresponding novel spatial experiences with high specificity. These findings suggest that the place cell sequence of a novel spatial experience is determined, in part, by an online selection of a subset of cellular firing sequences from a larger repertoire of preexisting temporal firing sequences in the hippocampal cellular assembly network that become rapidly bound to the novel experience. We estimate that for the given context, the recorded hippocampal network activity has the capacity to preplay an extended repertoire of at least 15 future spatial experiences of similar distinctiveness and complexity.
KNACK: A hybrid spin-charge mixed-mode simulator for evaluating different genres of spin-transfer torque MRAM bit-cells

The storage device in spin-transfer torque MRAM (STT-MRAM) is the magnetic tunneling junction (MTJ) and several models for the MTJ have been proposed. However, a simulation framework that captures device physics at the atomistic level when simulating STT-MRAM at the bit-cell level is lacking. We propose a simulation framework (KNACK) which models the MTJ at the atomistic level using the Non-Equilibrium Green's Function (NEGF) formalism and uses the NEGF model in conjunction with our STT-MRAM bit-cell circuit model for circuit-level simulations. Our simulation framework accepts I–V and C-V characteristics of the access device input either as lookup tables or as compact models. We show that with appropriate device and bit-cell parameters, our simulation framework has the ability to capture MTJ physics and simulate different genres of STT-MRAM bit-cells with results in agreement with experiments.
Left atrial function assessed by speckle tracking echocardiography as a predictor of new-onset non-valvular atrial fibrillation: results from a prospective study in 580 adults.

AIMS The aim of this prospective study was to evaluate left atrial (LA) function for the prediction of increased risk of new-onset non-valvular atrial fibrillation (AF). Risk stratification for new-onset AF based on LA remodelling may have a major public health impact. Although left atrial volume (LAV) or LA dimension have been proposed as predictors of AF, other predictive parameters of LA function have not yet been fully examined. METHODS AND RESULTS LA emptying function (EF), strain rate (SR), and LAV were evaluated in the apical four-chamber view by speckle tracking echocardiography in 580 consecutive adults (age 64 ± 17, 303 men) without a history of atrial arrhythmias. During a follow-up period of 28 months, 32 subjects (age 73 ± 9, 18 men) developed electrocardiographically confirmed AF. Subjects with new-onset AF had lower LA active EF (16 ± 5 vs. 28 ± 8%, P< 0.001) and lower LA SR at atrial contraction (-0.9 ± 0.2 vs. -1.4 ± 0.5 S(-1), P< 0.001), but larger maximum LAV index (59 ± 12 vs. 46 ± 16 mL/m(2), P< 0.001) compared with non-AF subjects at baseline. In multivariate logistic regression analysis, LA active EF was the only independent predictor of new-onset AF. Using an LA active EF cut-off of ≤20%, the sensitivity and specificity for new-onset AF based on receiver operator characteristic curve analysis were 88 and 81%, respectively (area under the curve: 0.92). CONCLUSION Reduced LA active EF (booster pump function) assessed by speckle tracking echocardiography independently predicts the risk of new-onset AF, suggesting a stronger association between LA functional remodelling and AF than between LA size and AF.
Applying k-Nearest Neighbour in Diagnosing Heart Disease Patients

Heart disease is the leading cause of death in the world over the past 10 years. Researchers have been using several data mining techniques to help health care professionals in the diagnosis of heart disease. K-Nearest-Neighbour(KNN) is one of the successful data mining techniques used in classification problems. However, it is less used in the diagnosis of heart disease patients. Recently, researchers are showing that combining different classifiers through voting is outperforming other single classifiers. This paper investigates applying KNN to help healthcare professionals in the diagnosis of heart disease. It also investigates if integrating voting with KNN can enhance its accuracy in the diagnosis of heart disease patients. The results show that applying KNN could achieve higher accuracy than neural network ensemble in the diagnosis of heart disease patients. The results also show that applying voting could not enhance the KNN accuracy in the diagnosis of heart disease.
Flexible Memories: Differential Roles for Medial Temporal Lobe and Prefrontal Cortex in Cross-Episode Binding

Episodic memory is characterized by rapid formation of new associations that bind information within individual episodes. A powerful aspect of episodic memory is the ability to flexibly apply and recombine information from past experience to guide new behavior. A critical question for memory research is how medial temporal lobe (MTL) and prefrontal cortex (PFC), regions implicated in rapid within-episode binding, further support cross-episode binding in service of mnemonic flexibility. We set to answer this question using an associative inference task in humans that required rapid binding of information across overlapping experiences (AB, BC) to enable successful transfer to novel test probes (AC). Within regions predicting subsequent associative memory for directly learned associations, encoding activation in MTL, including hippocampus and parahippocampal cortex, uniquely predicted success on novel transfer trials both within and across participants, consistent with an integrative encoding mechanism where overlapping experiences are linked into a combined representation during learning. In contrast, during retrieval, PFC activation predicted trial-by-trial transfer success while MTL predicted transfer performance across participants. Moreover, increased MTL-PFC coupling was observed during novel transfer trials compared with retrieval of directly learned associations. These findings suggest that inferential processes support transfer of rapidly acquired experiences to novel events during retrieval where multiple memories are recalled and flexibly recombined in service of successful behavior. Together, these results demonstrate distinct encoding and retrieval mechanisms that support mnemonic flexibility, revealing a unique role for MTL regions in cross-episode binding during encoding and engagement of interactive MTL-PFC processes during flexible transfer at test.
Path-based queries on trajectory data

In traffic research, management, and planning a number of path-based analyses are heavily used, e.g., for computing turn-times, evaluating green waves, or studying traffic flow. These analyses require retrieving the trajectories that follow the full path being analyzed. Existing path queries cannot sufficiently support such path-based analyses because they retrieve all trajectories that touch any edge in the path. In this paper, we define and formalize the strict path query. This is a novel query type tailored to support path-based analysis, where trajectories must follow all edges in the path. To efficiently support strict path queries, we present a novel NET work-constrained TRAjectory index (NETTRA). This index enables very efficient retrieval of trajectories that follow a specific path, i.e., strict path queries. NETTRA uses a new path encoding scheme that can determine if a trajectory follows a specific path by only retrieving data from the first and last edge in the path. To correctly answer strict path queries existing network-constrained trajectory indexes must retrieve data from all edges in the path. An extensive performance study of NETTRA using a very large real-world trajectory data set, consisting of 1.7 million trajectories (941 million GPS records) and a road network with 1.3 million edges, shows a speed-up of two orders of magnitude compared to state-of-the-art trajectory indexes.
Salt Content Impacts Food Preferences and Intake among Children

Decreasing dietary sodium intake, which can be achieved by reducing salt content in food, is recommended. Salt contributes to the taste of foods and makes them more enjoyable. Whether a food is liked or disliked is an important determinant of food intake, especially among children. However, the role of salt in children's food acceptance has received little attention. The impact of salt content on children's hedonic rating and intake of two foods was investigated in children. Using a within-subject crossover design, we recruited 75 children (8–11 years) to participate in five lunches in their school cafeteria. The target foods were green beans and pasta. The added salt content was 0, 0.6 or 1.2 g/100 g. The children's intake (g) of all lunch items was measured. The children provided their hedonic rating of the food, a preference ranking and a saltiness ranking in the laboratory. Children could rank the foods according to salt content, and they preferred the two saltier options. A food-specific effect of salt content on intake was observed. Compared to the intermediate level (0.6 g salt/100 g), not adding salt decreased green bean intake (−21%; p = 0.002), and increasing the salt content increased pasta intake (+24%; p<0.0001). Structural Equation Modeling was used to model the relative weights of the determinants of intake. It showed that the primary driver of food intake was the child's hunger; the second most important factor was the child's hedonic rating of the food, regardless of its salt content, and the last factor was the child's preference for the particular salt content of the food. In conclusion, salt content has a positive and food-specific effect on intake; it impacted food preferences and intake differently in children. Taking into account children's preferences for salt instead of their intake may lead to excessive added salt.
Quantifying the Spatial Distribution of Site Response by Use of the Yokohama High-Density Strong-Motion Network

We have estimated the spatial variation of site response using three- component accelerograms from the Yokohama High-Density Strong Motion net- work: 150 surface and 9 borehole accelerometers located in a 20 30 km 2 area. The site response is the average from 28 earthquakes; 16 were recorded at all borehole stations. We inverted data recorded at the boreholes to determine (1) source param- eters (seismic moment M0 and corner frequency fc) for each event, (2) Q(f) for the path, and (3) frequency-dependent site factors for the boreholes. The inversion scheme is independent of a reference station, that is, there are no a priori constraints about site response. For events with depths greater than 30 km, we find Q(f) almost independent of frequency, Q(f) 285f 0.06 ; for the four shallow events that were analyzed, Q(f) 70 f 0.28 . Having determined M0, fc, and Q(f) using the borehole data, we computed the site response for each of the 150 surface stations by dividing the observed surface spec- trum by the path-modified source spectrum. We then averaged this ratio for all 24 events. To quantify the variability of the site response between sites we introduced a site-response ratio that depends on station separation and frequency. From this we computed cumulative probability functions for different frequencies for two cases: (1) the average Vs30 ratio is most similar for two sites with the same separation distance and (2) the average Vs30 ratio is least similar. When two sites have the most similar Vs30 ratio, these functions indicate that 95% of the time a frequency- dependent site response (f 1 Hz) can be predicted within a factor of two for a site up to 5 km from a site with a known site response, and 90% of the time the unknown response is within a factor of three for frequencies 1-10 Hz. When two sites have the least similar average Vs30 ratio, the cumulative probability functions have similar shapes for all frequencies above 0.5 Hz; for frequencies up to 10 Hz the site ampli- fication can be predicted within a factor of three for 80% of the station pairs separated by as much as 5 km.
P2X7 receptors: Properties and relevance to CNS function

Among seven members of P2X ionotropic receptors activated by extracellular ATP, the P2X7 subtype is unique in that it can function as a cation channel, a nonselective pore, or even a signaling complex coupled with multiple downstream components. Several roles of P2X7 receptors have been described in CNS cells in the past decade, including release of cytokines and transmitters, modulation of presynaptic transmitter release, and activation of multiple signaling pathways. The finding that P2X7 pores may directly mediate efflux of cytosolic glutamate, GABA, and ATP in glial cells is particularly interesting, as it provides a novel mechanism of glial transmitter release that may play important roles not only in physiological intercellular communication but also in pathological neural injury. © 2006 Wiley‐Liss, Inc.
A practical algorithm for automatic chessboard corner detection

Chessboard corner detection is a fundamental work of the popular chessboard pattern-based camera calibration technique. In this paper, a fast and robust algorithm for chessboard corner detection is presented. In our method, an initial corner set is obtained with an improved Hessian corner detector. And then, a novel strategy which takes both textural and geometrical characteristics of a chessboard into consideration is employed to eliminate fake corners in the initial corner set. The proposed algorithm only requires a user-input of the total number of chessboard inner corners, while all the other parameters can be adaptively calculated with a statistical approach. Experimental results on two public data sets demonstrate that the proposed method can outperform the most commonly used OpenCV method in terms of both detection rate and computational efficiency.
Spectropolarimetric Observations of the Ca II λ8498 and λ8542 in the Quiet Sun

The Ca II infrared triplet is one of the few magnetically sensitive chromospheric lines available for ground-based observations. We present spectropolarimetric observations of the 8498 and 8542 Å lines in a quiet Sun region near a decaying active region and compare the results with a simulation of the lines in a high plasma-β regime. Cluster analysis of Stokes V profile pairs shows that the two lines, despite arguably being formed fairly close, often do not have similar shapes. In the network, the local magnetic topology is more important in determining the shapes of the Stokes V profiles than the phase of the wave, contrary to what our simulations show. We also find that Stokes V asymmetries are very common in the network, and the histograms of the observed amplitude and area asymmetries differ significantly from the simulation. Both the network and internetwork show oscillatory behavior in the Ca II lines. It is stronger in the network, where shocking waves, similar to those in the high-β simulation, are seen and large self-reversals in the intensity profiles are common.
Paradox and power: A structurationist perspective on managers’ hesitation regarding people management

Research has broadly investigated the role of line managers in human resource management. However, several studies have shown that line managers perceive there to be high pressure on their operational performance, often at the expense of their role as people managers. Combining Giddens’ theory of structuration and paradox lens as theoretical backgrounds, I aim to explain this phenomenon by accounting for the embeddedness of line managers in organizations as social and political systems. Therefore, I developed a circular structuration model displaying the process and dynamics that influence the development and change of norms for coping with paradoxical tensions. Implications for theory and practice are discussed.