Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Principal Component Regression Analysis in power load forecasting for medium and long term

This paper deals with the power load forecasting for medium and long term using based on Principal Component Regression Analysis. The paper first reviews the research achievement of the load forecasting and its relationship with economic development, then introduces the basic theory of the principal component analysis and principal component regression analysis model. Finally, taking Beijing as an example, the paper extracts the principal components from the relevant economic factors related power consumption in Beijing, then establishes a multi-parameter regression prediction model (Principal component regression model) on the principal components. The results show that the error is small between prediction load and actual load, proving that the model is a feasible and effective method of load forecasting.
Distribution of the Tetrodotoxin-Resistant Sodium Channel PN3 in Rat Sensory Neurons in Normal and Neuropathic Conditions

The novel sodium channel PN3/α-SNS, which was cloned from a rat dorsal root ganglion (DRG) cDNA library, is expressed predominantly in small sensory neurons and may contribute to the tetrodotoxin-resistant (TTXR) sodium current that is believed to be associated with central sensitization in chronic neuropathic pain states. To assess further the role of PN3, we have used electrophysiological, in situ hybridization and immunohistochemical methods to monitor changes in TTXRsodium current and the distribution of PN3 in normal and peripheral nerve-injured rats. (1) Whole-cell patch-clamp recordings showed that there were no significant changes in the TTXR and TTX-sensitive sodium current densities of small DRG neurons after chronic constriction injury (CCI) of the sciatic nerve. (2) Additionally, in situ hybridization showed that there was no change in the expression of PN3 mRNA in the DRG up to 14 d after CCI. PN3 mRNA was not detected in sections of brain and spinal cord taken from either normal or nerve-injured rats. (3) In contrast, immunohistochemical studies showed that major changes in the subcellular distribution of PN3 protein were caused by either CCI or complete transection of the sciatic nerve. The intensity of PN3 immunolabeling decreased in small DRG neurons and increased in sciatic nerve axons at the site of injury. The alteration in immunolabeling was attributed to translocation of presynthesized, intracellularly located PN3 protein from neuronal somata to peripheral axons, with subsequent accumulation at the site of injury. The specific subcellular redistribution of PN3 after peripheral nerve injury may be an important factor in establishing peripheral nerve hyperexcitability and resultant neuropathic pain.
A Clustering-Based Approach for Filtering False Positive MicroRNA Candidates

Our study first validated the phenomenon of microRNA (miRNA) clustering in the human genome using computational methods, and then showed that miRNA clustering can be used to improve the computational predictions of human miRNAs. We demonstrated that the secondary structure of a miRNA precursor is similar to its neighboring miRNAs located in the same cluster, when compared to the sequences outside the clusters. Using this property, we designed a 2-step approach to filter the false positives resulted from a miRNA software tool and successfully raised the specificity by 10% while keeping a reasonably high sensitivity.
Quantum-Spacetime Phenomenology

I review the current status of phenomenological programs inspired by quantum-spacetime research. I stress in particular the significance of results establishing that certain data analyses provide sensitivity to effects introduced genuinely at the Planck scale. My main focus is on phenomenological programs that affect the directions taken by studies of quantum-spacetime theories.
Urokinase-Plasminogen Activator , a New and Independent Prognostic Marker in Breast Cancer 1

Urokinase plasminogen activator (UK-PA) is a serine protease impli cated in cancer invasion and metastasis. In this investigation, patients with breast cancers containing high levels of UK-PA antigen had signif icantly higher risk of early disease recurrence and shorter overall survival than did patients with low levels of the protein. In univariate analysis, UK-PA was a more powerful discriminator for disease-free interval than axillary node status, tumor size, or estradici receptor. For overall survival, UK-PA as a prognostic marker, was of similar magnitude to axillary node status but stronger than that of tumor size or estradici receptor. In multivariate analysis, for both disease-free interval and survival, UK-PA was an independent risk factor, being independent of tumor size, axillarynode status, and estradici receptor. UK-PA appears to be a new and independent prognostic marker in breast cancer.
Diabetes mellitus and the risk of glioma: a meta-analysis

Some studies reported a statistically significant inverse association between diabetes mellitus (DM) and risk of gliomas. However, the result is still controversial. We thus did a meta-analysis and summarized the evidence on the incidence of gliomas that has been studied in its association with DM. Seven case-control studies and 4 cohort studies were selected in this meta-analysis (n = 5898251). DM was significantly associated with decreased risk of gliomas (OR = 0.79; 95% CI 0.67 – 0.93; P = 0.004; I2 = 59%). In the subgroup analysis of race, Caucasians of DM showed decreased risk of gliomas (OR = 0.81; 95% CI 0.69 – 0.94; P = 0.007). In the subgroup analysis of design, a statistically significant protective effect of DM on gliomas was observed in case-control studies (OR = 0.68; 95 % CI, 0.53–0.87; P = 0.002), while no such effect was observed in cohort studies (OR = 0.97; 95 % CI, 0.83–1.13; P = 0.70). In a further stratified analysis by gender, a significant association was found among males with DM (OR = 0.83; 95 % CI, 0.70–0.99; P = 0.04). No significant association was found between females with DM and gliomas (OR = 0.97; 95 % CI, 0.78–1.21; P = 0.81). In summary, this meta-analysis of current evidence suggests that DM is significantly associated with decreased gliomas risk in Caucasian and males.
Effects of Prenatal Cigarette Smoke Exposure on Neurobehavioral Outcomes in Ten-Year-Old Children of Teenage Mothers

In this prospective study, teenager mothers (mean age = 16; range = 12–18; 70% African American) were interviewed about their tobacco use during pregnancy. When their children were ten, mothers reported on their child’s behavior and the children completed a neuropsychological battery. We examined the association between prenatal cigarette smoke exposure (PCSE) and offspring neurobehavioral outcomes on data from the ten-year phase (n = 336). Multivariate regression analyses were conducted to test if PCSE predicted neurobehavioral outcomes, adjusting for demographic characteristics, maternal psychological characteristics, prenatal exposure to other substances, and exposure to environmental tobacco smoke. Independent effects of PCSE were found. Exposed offspring had more delinquent, aggressive and externalizing behaviors (CBCL). They were more active (Routh, EAS, SNAP) and impulsive (SNAP), and had more problems with peers (SNAP). On the Stroop test, deficits were observed in both baseline response processing measures and on the more complex interference task that requires both selective attention and response inhibition. The significant effects of PCSE on neurobehavioral outcomes were found for exposure to as few as 10 cigarettes per day. These results are consistent with results from an earlier assessment when the children were age 6, demonstrating that the effects of prenatal tobacco exposure can be identified early and are consistent through middle childhood.
Virtual olfactory interfaces : electronic noses and olfactory displays

At present, in communications and virtual technologies, smell is either forgotten or improperly stimulated, because non controlled odorants present in the physical space surrounding the user. Nonetheless a controlled presentation of olfactory information can give advantages in various application fields. Therefore two enabling technologies, electronic noses and virtual olfactory displays, are reviewed. Scenarios of usage are discussed together with relevant psycho-physiological issues. End-to-end systems including virtual olfactory interfaces are quantitatively characterised under many respects: smell quality and concentration, dynamics, spatial localisation and information rate. Recent work done by the authors on fidelity is finally reported.
Research on the impact of social network service on tourists purchase intention

In particular, social network service has changed the traditional way of communication between consumers and tourism enterprises, making them to collect information via itself. According to this situation, this thesis takes the users of social network sites as the objects for research, the technology acceptance model as theoretical basis, tourists cognitive trust and emotional trust as intermediate variables, and combines with the usefulness, dependence, openness and community conversation of social network service to build a hypothetical model, and then uses empirical research methods to explore the impact of social network service on tourists purchase intention. The empirical results show that the dependence and community conversation will have a direct positive impact on tourists purchase intention. The results prove the usefulness, dependence, openness, community conversation will have a positive impact on tourists purchase intention. Finally, according to the conclusions this thesis puts forward feasible marketing suggestions for tourism enterprises on how to use social network service, and then describes the outlook for future research.
Identifying intervals of temporally invariant field‐aligned currents from Swarm: Assessing the validity of single‐spacecraft methods

Field‐aligned currents (FACs) are a fundamental component of coupled solar wind‐magnetosphere‐ionosphere. By assuming that FACs can be approximated by stationary infinite current sheets that do not change on the spacecraft crossing time, single‐spacecraft magnetic field measurements can be used to estimate the currents flowing in space. By combining data from multiple spacecraft on similar orbits, these stationarity assumptions can be tested. In this technical report, we present a new technique that combines cross correlation and linear fitting of multiple spacecraft measurements to determine the reliability of the FAC estimates. We show that this technique can identify those intervals in which the currents estimated from single‐spacecraft techniques are both well correlated and have similar amplitudes, thus meeting the spatial and temporal stationarity requirements. Using data from European Space Agency's Swarm mission from 2014 to 2015, we show that larger‐scale currents (>450 km) are well correlated and have a one‐to‐one fit up to 50% of the time, whereas small‐scale (<50 km) currents show similar amplitudes only ~1% of the time despite there being a good correlation 18% of the time. It is thus imperative to examine both the correlation and amplitude of the calculated FACs in order to assess both the validity of the underlying assumptions and hence ultimately the reliability of such single‐spacecraft FAC estimates.
Insights into female germ cell biology: from in vivo development to in vitro derivations

Understanding the mechanisms of human germ cell biology is important for developing infertility treatments. However, little is known about the mechanisms that regulate human gametogenesis due to the difficulties in collecting samples, especially germ cells during fetal development. In contrast to the mitotic arrest of spermatogonia stem cells in the fetal testis, female germ cells proceed into meiosis and began folliculogenesis in fetal ovaries. Regulations of these developmental events, including the initiation of meiosis and the endowment of primordial follicles, remain an enigma. Studying the molecular mechanisms of female germ cell biology in the human ovary has been mostly limited to spatiotemporal characterizations of genes or proteins. Recent efforts in utilizing in vitro differentiation system of stem cells to derive germ cells have allowed researchers to begin studying molecular mechanisms during human germ cell development. Meanwhile, the possibility of isolating female germline stem cells in adult ovaries also excites researchers and generates many debates. This review will mainly focus on presenting and discussing recent in vivo and in vitro studies on female germ cell biology in human. The topics will highlight the progress made in understanding the three main stages of germ cell developments: namely, primordial germ cell formation, meiotic initiation, and folliculogenesis.
Metabolism and virulence in Neisseria meningitidis

A longstanding question in infection biology addresses the genetic basis for invasive behavior in commensal pathogens. A prime example for such a pathogen is Neisseria meningitidis. On the one hand it is a harmless commensal bacterium exquisitely adapted to humans, and on the other hand it sometimes behaves like a ferocious pathogen causing potentially lethal disease such as sepsis and acute bacterial meningitis. Despite the lack of a classical repertoire of virulence genes in N. meningitidis separating commensal from invasive strains, molecular epidemiology suggests that carriage and invasive strains belong to genetically distinct populations. In recent years, it has become increasingly clear that metabolic adaptation enables meningococci to exploit host resources, supporting the concept of nutritional virulence as a crucial determinant of invasive capability. Here, we discuss the contribution of core metabolic pathways in the context of colonization and invasion with special emphasis on results from genome-wide surveys. The metabolism of lactate, the oxidative stress response, and, in particular, glutathione metabolism as well as the denitrification pathway provide examples of how meningococcal metabolism is intimately linked to pathogenesis. We further discuss evidence from genome-wide approaches regarding potential metabolic differences between strains from hyperinvasive and carriage lineages and present new data assessing in vitro growth differences of strains from these two populations. We hypothesize that strains from carriage and hyperinvasive lineages differ in the expression of regulatory genes involved particularly in stress responses and amino acid metabolism under infection conditions.
A generalization of AVL trees

A generalization of AVL trees is proposed in which imbalances up to Δ are permitted, where Δ is a small integer. An experiment is performed to compare these trees with standard AVL trees and with balanced trees on the basis of mean retrieval time, of amount of restructuring expected, and on the worst case of retrieval time. It is shown that, by permitting imbalances of up to five units, the retrieval time is increased a small amount while the amount of restructuring required is decreased by a factor of ten. A few theoretical results are derived, including the correction of an earlier paper, and are duly compared with the experimental data. Reasonably good correspondence is found.
An ultra-low-voltage Class-C PMOS VCO IC with PVT compensation in 180-nm CMOS

A novel 2.2-GHz-band ultra-low-voltage Class-C PMOS VCO IC with negative reference and amplitude feedback loop is proposed. The negative reference initially adapts a sufficient bias for the LC-VCO circuit to ensure a robust oscillation start-up. The feedback loop then adaptively controls the bias condition of LC-VCO for Class-C operation in steady-state. The reliability of the feedback loop is enhanced over PVT variation. The Class-C VCO IC has been designed, fabricated and fully evaluated in 180-nm CMOS technology. The fabricated VCO IC exhibits a measured phase noise of -113.2 dBc/Hz at 1 MHz offset from the 2.2 GHz carrier frequency with a supply voltage of only 0.3 V.
Traffic light detection during day and night conditions by a camera

In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and yellow objects in the image firstly; For the purpose of eliminating disturbance in the environment, the features of traffic lights are used to verify the object identity, and then the types of traffic signals are judged. The results of experiments show that the algorithm is stable and reliable.
“ A BRAIN COMPUTER INTERFACE FOR AUTOMATED MUSIC EVALUATION ”

IX A B S T R A C T This study investigates the possibility of a using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener's subjective experience of music into scores that can be used for the automated annotation of music in popular services. Based on the established-neuroscienctifically sound-concepts of brainwave frequency bands, activation asymmetry index and cross-frequency-coupling (CFC), a Brain Computer Interface (BCI) system is introduced that automatically assigns a rating score to the listened song. The research operated in two distinct stages: i) a generic feature engineering stage, in which features from signal-analytics were ranked and selected based on their ability to associate music induced perturbations in brainwaves with listener's appraisal of music, ii) a personalization stage, during which the efficiency of Extreme Learning Machines (ELMs) is exploited so as to translate the derived patterns into a listener's score.
Evidence for Tidal Stripping of Dark Matter Halos in Massive Cluster Lenses

In this Letter, we present the results of our study of galaxy-galaxy lensing in massive cluster lenses spanning z = 0.17-0.58, utilizing high-quality archival Hubble Space Telescope data. Local anisotropies in the shear maps are assumed to arise from dark matter substructure within these clusters. Associating the substructure with bright early-type cluster galaxies, we quantify the properties of typical L* cluster members in a statistical fashion. The fraction of total mass associated with individual galaxies within the inner regions of these clusters ranges from 10% to 20%, implying that the bulk of the dark matter in massive lensing clusters is smoothly distributed. Looking at the properties of the cluster galaxies, we find strong evidence (>3 σ significance) that a fiducial early-type L* galaxy in these clusters has a mass distribution that is tidally truncated compared with equivalent luminosity galaxies in the field. In fact, we exclude field galaxy scale dark halos for these cluster early types at greater than 10 σ significance. We compare the tidal radii obtained from this lensing analysis with the central density of the cluster potentials and find a correlation that is in excellent agreement with theoretical expectations of tidal truncation: log r ∝ (-0.6 ± 0.2) log ρ0.
Optical Three-axis Tactile Sensor

The three-axis tactile sensor has attracted the greatest anticipation for improving manipulation because a robot must detect the distribution not only of normal force but also of tangential force applied to its finger surfaces (Ohka, M. et al., 1994). Material and stability recognition capabilities are advantages of a robotic hand equipped with the three-axis tactile sensor (Takeuchi, S. et al., 1994). In peg-in-hole, a robot can compensate for its lack of degrees of freedom by optimum grasping force, allowing an object to move between two fingers using measured shearing force occurring on the finger surfaces (Brovac, B. at al., 1996). Also, a micro-robot would be required to remove any object attached to the inside a blood-vessel or pipe wall (Guo, S. et al., 1996; Mineta, T. et al., 2001; Yoshida, K. et al., 2002). It therefore becomes necessary to measure not only the normal force but also the shearing force.Principle of the three-axis tactile sensor is described in this chapter. The authors have produced three kinds of three-axis tactile sensor: one columnar and four conical feelers type, none columnar feeler type for micro robots and a hemispherical type for humanoid robotic hands. Finally, a tactile information processing is presented to apply it to robotic object-recognition. The information processing method is based on a mathematical model formulated according to human tactile sensation.
Multiresolution interpolation meshes

The authors propose a novel multiresolution-based shape representation for 3D mesh morphing. Our approach does not use combination operations that caused some serious problems in the previous approaches for mesh morphing. Therefore, we can calculate a hierarchical interpolation mesh robustly using two types of subdivision fitting schemes. Our new representation has a hierarchical semiregular mesh structure based on subdivision connectivity. This leads to various advantages including efficient data storage, and easy acquisition of an interpolation mesh with arbitrary subdivision level. We also demonstrate several new features for 3D morphing using multiresolution interpolation meshes.
Recombinant HSA-CMG2 Is a Promising Anthrax Toxin Inhibitor

Anthrax toxin is the major virulence factor produced by Bacillus anthracis. Protective antigen (PA) is the key component of the toxin and has been confirmed as the main target for the development of toxin inhibitors. The inhibition of the binding of PA to its receptor, capillary morphogenesis protein-2 (CMG2), can effectively block anthrax intoxication. The recombinant, soluble von Willebrand factor type A (vWA) domain of CMG2 (sCMG2) has demonstrated potency against anthrax toxin. However, the short half-life of sCMG2 in vivo is a disadvantage for its development as a new anthrax drug. In the present study, we report that HSA-CMG2, a protein combining human serum albumin (HSA) and sCMG2, produced in the Pichia pastoris expression system prolonged the half-life of sCMG2 while maintaining PA binding ability. The IC50 of HSA-CMG2 is similar to those of sCMG2 and CMG2-Fc in in vitro toxin neutralization assays, and HSA-CMG2 completely protects rats from lethal doses of anthrax toxin challenge; these same challenge doses exceed sCMG2 at a sub-equivalent dose ratio and overwhelm CMG2-Fc. Our results suggest that HSA-CMG2 is a promising inhibitor of anthrax toxin and may contribute to the development of novel anthrax drugs.
Model reduction by moment matching for nonlinear time-delay systems

The model reduction problem by moment matching for nonlinear time-delay systems is studied. The notion of moment developed for linear time-delay systems is extended by means of the center manifold theory. In addition the moments at infinity are characterized for both linear and nonlinear time-delay systems. A parameterized family of models achieving moment matching is given. The parameters can be exploited to derive delay-free reduced order models or time-delay reduced order models with additional properties. The theory is illustrated by the reduction of a neutral differential time-delay equation describing the torsional dynamics of an oilwell drillstring.
Combining Optimal and Atomic Decomposition of Terminology Association graphs

We introduce novel approaches of graph decomposition based on optimal separators and atoms generated by minimal clique separators. The decomposition process is applied to co-word graphs extracted from Web Of Science database. Two types of graphs are considered: co-keyword graphs based on the human indexation of abstracts and terminology graphs based on semi-automatic term extraction from abstracts.