gebhart/patrepeval huggingface dataset:
Ensemble time series forecasting with applications in power systems and financial markets (2018)

In recent years, time series forecasting has obtained significant academic and industrial interest with its significance in various application fields, including power system related applications (electric load, wind power and solar irradiance forecasting, etc.), as well as financial market related applications (stock price, exchange rate and electricity price forecasting, etc.). Many statistics based machine learning models have been proposed to obtain accurate results for time series forecasting in the literature. The methods can be divided into two categories: linear models (such as auto-regressive moving average) and non-linear models (such as artificial neural network and support vector machine). However, due to the highly nonlinear characteristics of real world time series signals caused by various influencing factors, it is very difficult to ensure the performance of machine learning models. Deep learning and ensemble methods are possible solutions to this problem. This thesis mainly focuses on the state-of-the-art ensemble learning methods and deep learning models for both power system and financial market related time series forecasting. The development of time series forecasting is introduced, and a brief review of existing algorithms is also recorded. Motivated by the attractive advantages of ensemble learning, two deep learning based ensemble methods are presented: (i) ensemble method composed of deep belief networks and support vector machines, (ii) empirical mode decomposition (EMD) based ensemble deep learning model. The performance of the proposed methods is evaluated by real world time series datasets. On the other hand, the ensemble methods based on fast learning models are also investigated in this thesis, such as decision tree ensembles and random vector functional link (RVFL) network based hybrid models. Specifically, a novel decomposition method composed of discrete wavelet transform and EMD is combined with incremental RVFL for electric load forecasting. Finally, the advantages and potential future developments of deep learning and ensemble methods are discussed.
Kinetics of Ultrasonic Degassing of Aluminum Alloys (2013)

This chapter contains sections titled: Introduction Experimental Procedure Results and Discussion Conclusions Acknowledgements
A survey: Several technologies of non-orthogonal transmission for 5G (2015)

One key advantage of 4G OFDM system is the relatively simple receiver implementation due to the orthogonal resource allocation. However, from sum-capacity and spectral efficiency points of view, orthogonal systems are never the achieving schemes. With the rapid development of mobile communication systems, a novel concept of non-orthogonal transmission for 5G mobile communications has attracted researches all around the world. In this trend, many new multiple access schemes and waveform modulation technologies were proposed. In this paper, some promising ones of them were discussed which include Non-orthogonal Multiple Access (NOMA), Sparse Code Multiple Access (SCMA), Multi-user Shared Access (MUSA), Pattern Division Multiple Access (PDMA) and some main new waveforms including Filter-bank based Multicarrier (FBMC), Universal Filtered Multi-Carrier (UFMC), Generalized Frequency Division Multiplexing (GFDM). By analyzing and comparing features of these technologies, a research direction of guiding on future 5G multiple access and waveform are given.
Design and fabrication of visible/mid-infrared dual-band microfilter array (2008)

Integrated visible/infrared dual-band filter array is the key component of compact, lightweight, rigid miniature dual-band CCD sensing system. Interference cut-off filter array and interference absorbing filter array have been designed for infrared and visible pass band respectively. A simple, effective and compatible with high temperature deposition process lift-off technique for striping thick infrared film was investigated. Integrating photolithography, ion beam assisted electron beam physical vapor deposition and improved lift-off process, dual-band microfilter array with good performance was fabricated on the same sapphire substrate consecutively. Details of design and fabricating procedure are elucidated, and experimental results are presented.
Of Toasters and Molecular Ticker Tapes (2011)

Experiments in systems neuroscience can be seen as consisting of three steps: (1) selecting the signals we are interested in, (2) probing the system with carefully chosen stimuli, and (3) getting data out of the brain. Here I discuss how emerging techniques in molecular biology are starting to improve these three steps. To estimate its future impact on experimental neuroscience, I will stress the analogy of ongoing progress with that of microprocessor production techniques. These techniques have allowed computers to simplify countless problems; because they are easier to use than mechanical timers, they are even built into toasters. Molecular biology may advance even faster than computer speeds and has made immense progress in understanding and designing molecules. These advancements may in turn produce impressive improvements to each of the three steps, ultimately shifting the bottleneck from obtaining data to interpreting it.
T cell costimulatory pathways (1995)

It is now accepted that T cells need two signals for full activation. The first is the foreign antigen itself presented by self-major histocompatibility complex and thus provides antigen specificity to the immune response. The second is a "costimulatory" signal, the best-characterized of which is provided through the T cell accessory molecule CD28. In vitro, the blockade of costimulatory signals inhibits T cell activation and induces a state of antigen-specific unresponsiveness. In vivo, agents that block CD28-mediated costimulation have proved extremely effective in inhibiting the immune response in experimental models of transplantation and autoimmune disease, providing novel strategies for use in clinical trials in the near future.
The Effects of Various Additives on the Cloud Point of Dodecyl Polyoxyethylene Polyoxypropylene Ether (2002)

Article The Effects of Various Additives on the Cloud Point of Dodecyl Polyoxyethylene Polyoxypropylene Ether was published on January 1, 2002 in the journal Tenside Surfactants Detergents (volume 39, issue 1).
Light-Emitting Electrochemical Cell (LEC) Using Polythiophene Derivative (2000)

Abstract Solid-state polymer light-emitting electrochemical cells have been fabricated using thin films of blends of polymer electrolytes and urethane-containing polythiophene (PURET) as active material. We have prepared various types of polymer electrolytes such as poly(acrylate)s and poly(ether ester)s. The devices emit orange-red light with the maximum intensity at 590 nm at room temperature. The typical voltage (V) – current density (I) – luminance characteristics of an ITO / PURET + polymer electrolyte complexed with LiClO4 / Al cell under forward and reverse bias conditions were measured. The I-V curve is symmetric at zero bias. The apparent threshold voltages for current injection and visible light emission are around 2 ∼ 3V.
Toward breath analysis on a chip for disease diagnosis using semiconductor-based chemiresistors: recent progress and future perspectives (2017)

Semiconductor gas sensors using metal oxides, carbon nanotubes, graphene-based materials, and metal chalcogenides have been reviewed from the viewpoint of the sensitive, selective, and reliable detection of exhaled biomarker gases, and perspectives/strategies to realize breath analysis on a chip for disease diagnosis are discussed and suggested.
Impact of plan parameters on the dosimetric accuracy of volumetric modulated arc therapy (2013)

At 4° CP sampling, LT, MCSv, and LTMCS were found to be significantly correlated with VMAT dosimetric accuracy, expressed as Γ pass-rates. These parameters were found to be possible candidates for scoring plan complexity using threshold values. A finer CP separation (3°∕2°) led to a significant increase in dosimetric accuracy for plans with high leaf travel values, and to a decrease in correlation between LT and Γ passing rates. These results indicated that the influence of LT on VMAT dosimetric accuracy can be controlled by reducing CP separation. CP spacing for all plans requiring large leaf motion should not exceed 3°. The reported data were integrated to optimize our clinical workflow for plan creation, optimization, selection among rival plans, and patient-specific QA of VMAT treatments.
Conflicts of interest in neurology (1998)

To the Editor: The article on conflicts of interest in neurology by Bernat et al.1 was of great interest. In discussing self-referral, they referred to several articles, including one by Hillman et al. …
The Role of the C-3 Substituent in the Asymmetric Dihydroxylation of Hexo-5-Enofuranosides (2000)

ABSTRACT Asymmetric dihydroxylation of vinyl furanosides 1-6 by use of OsO4, AD-mix-α® and β® is described yielding the corresponding hexofuranose sugars. Vinyl furanosides 2 and 3, with an ester group at C-3, and vinyl manno furanoside 5 on asymmetric dihydroxylation with AD-mix α® exhibited high R diastereoselectivity at C-5. Reversal in diastereoselectivity at C-5 was observed for the 3-deoxy vinyl furanoside 6 giving furanosaccharide 6S with the S configuration at C-5.
Expression of Nicotinamide Phosphoribosyltransferase-Influenced Genes Predicts Recurrence-Free Survival in Lung and Breast Cancers (2014)

Nicotinamide phosphoribosyltransferase (NAMPT) is a rate-limiting enzyme in the salvage pathway of nicotinamide adenine dinucleotide biosynthesis. NAMPT protein is a secreted plasma biomarker in inflammation and in cancer. The NAMPT enzymatic inhibitor, FK866, acts as an inducer of apoptosis and is a cancer therapeutic candidate, however, little is known regarding the influence of NAMPT on cancer biological mechanisms or on the prognosis of human cancers. We interrogated known microarray data sets to define NAMPT knockdown-influenced gene expression to demonstrate that reduced NAMPT expression strongly dysregulates cancer biology signaling pathways. Comparisons of gene expression datasets of four cancer types generated a N39 molecular signature exhibiting consistent dysregulated expression in multiple cancer tissues. The N39 signature provides a significant and independent prognostic tool of human recurrence-free survival in lung and breast cancers. Despite the absence of clear elucidation of molecular mechanisms, this study validates NAMPT as a novel "oncogene" with a central role in carcinogenesis. Furthermore, the N39 signature provides a potentially useful tool for prediction of recurrence-free survival in lung and breast cancer and validates NAMPT as a novel and effective therapeutic target in cancer.
Standardization of Estrogen Receptor Measurement in Breast Cancer Suggests False-Negative Results Are a Function of Threshold Intensity Rather Than Percentage of Positive Cells (2011)

Assessment of intensity threshold by using a quantitative, standardized assay on two independent cohorts suggests discordance in the 10% to 20% range with current IHC methods, in which patients with discrepant results have prognostic outcomes similar to ER-positive patients with concordant results.
Signal transduction in vestibular adaptation to microgravity – A still unsolved problem (2007)

Abstract In men and monkeys as well as adult and developing fish ( Fundulus heteroclictus , Opsanus tau, Xiphophorus helleri ), amphibian ( Rana catesbeiana , Xenopus laevis ) and rodents, microgravity cause significant behavioral, physiological and psychophysical sensitivity changes within the vestibular system. Some of these observations point to sensitization of the vestibular system during exposure to weightlessness. The review presents mechanisms that might contribute to vestibular sensitization during microgravity adaptation. They include (1) stimulus transduction within vestibular hair cells, (2) activation of immediate early genes within central afferent and efferent vestibular nuclei, and (3) modifications of cellular transcription factors' activity during early development.
802.11-based positioning system for context aware applications (2004)

This paper presents a novel 802.11-based positioning system called the maximal cluster centered positioning system (MCCPS) developed and demonstrated at National Central University. The MCCPS system locates mobile objects via collecting the sensed power strengths of the mobile objects to multiple wireless access points. To overcome the serious multipath fading problem in the indoor environment, several positions called reference points were selected and a database is introduced to maintenance the power signature of each reference point. The experimental results show that the location information provided by MCCPS assures high correctness of region classification and low distance error.
FDR - DIE FAHRDYNAMIKREGELUNG VON BOSCH (1994)

Vehicle handling at the physical limit of adhesion between the tires and the road is extremely difficult. In such situations the driver may be supported by controlling the longitudinal and lateral forces on the tires. The Vehicle Dynamics Control System of Bosch (VDC) does that by controlled braking of individual wheels which makes the vehicle motion approach the nominal motion intended by the driver. It uses signals to derive the driver's intent (steering wheel angle, brake pressure, engine torque) and signals to derive the actual motion of the vehicle (yaw rate, lateral acceleration). The support of the driver is not limited to coasting conditions
Burden of Disease and Cost of Chronic Hepatitis C Virus Infection in Canada (2014)

Although the prevalence of HCV in Canada is decreasing, cases of advanced liver disease and health care costs continue to rise. These results will facilitate disease forecasting, resource planning and the development of rational management strategies for HCV in Canada.
Propagation Dynamics of Intense Femtosecond Pulses: Multiple Splittings, Coalescence, and Continuum Generation (1999)

We present a scenario of $\left(3+1\right)$-dimensional spatiotemporal dynamics of femtosecond laser pulses in a nonlinear media with normal dispersion. The sequence of events at progressively higher powers can be characterized as single splitting, multiple splitting, and coalescence. Self-focusing and splitting events are in general spatially separated. Experimental data confirm the above scenario, with measurements at the highest powers corresponding to the regime of continuum generation.
Bilateral anterior ischemic optic neuropathy in patients on dialysis: A report of two cases (2010)

Patients under chronic dialysis treatment suffer from atherosclerotic disease and anemia more frequently than the normal population. This, together with the frequent hypotension, put these patients at increased risk for anterior ischemic optic neuropathy (AION), which may be bilateral and blinding. We present two cases of patients under chronic dialysis who developed bilateral AION after hypotensive events. Bilateral involvement is not unusual in renal replacement patients who suffer from AION. Efforts should be focused on prevention of this complication by improving anemia and blood pressure control because once established, treatment will probably be ineffective.
Online feature selected semi-supervised decision trees for network intrusion detection (2016)

Network intrusion detection systems need to detect abnormal behaviour in network data as soon as possible and with as little user intervention as possible. In this paper, we describe a semi-supervised network anomaly detection system. Our system uses online clustering to summarize the available network data. Clusters are represented using extended cluster features that comprise of not only features related to the original features, but also features that describe the relationships between clusters. Each cluster is labeled by the user as anomaly or normal and then a decision tree is trained based on this information. The incoming new data is labeled according to the output of the decision tree. We show that this system achieves much better performance than an unsupervised anomaly detection system. We also show that using online feature selection on the cluster features reduces the decision tree complexity without hindering the accuracy.
Estudio de las Condiciones Higiénico Sanitarias de Cuatro Sectores Periféricos de la Localidad de Esperanza (2005)

Americanae nace como un proyecto conjunto que surge dentro de la Red Europea de Información y Documentación sobre América Latina (REDIAL), y que ha afrontado la Biblioteca de la Agencia Española de Cooperación Internacional para el Desarrollo (AECID). Esta nueva biblioteca virtual hace más accesibles los libros digitales de tema americanista a los investigadores y usuarios interesados de cualquier parte del mundo.
Private Space Monitoring with SoC-Based Smart Cameras (2017)

Cameras and other sensors are increasingly deployed for private space monitoring applications such as home monitoring, assisted/enhanced living and child monitoring. Since these cameras capture highly sensitive information and transfer it over public communication infrastructures, security and privacy is a major concern. This work presents a secure camera device along with a secure data delivery and archiving solution for private space monitoring applications using untrusted public cloud storage services. Integrity, authenticity, confidentiality and freshness of captured data are protected on-board using physically unclonable functions (PUF). The protection holds true for entire lifetime of the data until it is consumed by an authorized end-user. Experimental results obtained from our Zynq7010 SoC based prototype shows that the device is able to secure videos with 30 frames per second at 640×480 resolution with marginal overhead. The presented solution is not limited to visual sensing but can be applied to a wide range of pervasive sensing and secure data delivery scenarios.
Chemical Composition, Physical, and Functional Properties of Milk and Milk Ingredients (2015)

Milk is the whole, fresh, clean lacteal secretion obtained by the complete milking of one or more healthy cows. On dry basis, raw whole milk contains 29.36% fat, 26.98% protein (22.22% casein, 4.76% whey proteins), 38.1% lactose, and 5.56% ash. The composition of non-fat solids of skim milk is: 52.15% lactose, 38.71% protein (31.18% casein, 7.53% whey protein), 1.08% fat, and 8.06% ash. Fresh milk from a healthy cow is practically free from bacteria, but it must be protected against contamination as soon as it leaves the udder. There are four categories of inspection at the processing plant: visual, organo-leptic, chemical, and microbiological. Milk proteins are of two distinct types, whey protein (serum proteins) and caseins. The physical properties of milk include fluid flow, mixing and churning, emulsification and homogenization, as well as heat transfer processes such as pasteurization, sterilization, evaporation, dehydration, chilling, and freezing.
Metal deposition with femtosecond light pulses at atmospheric pressure (2003)

Femtosecond pulses of 400 nm light have been used to deposit Cr from adsorbed layers of Cr(CO)6 on both transparent and absorbing substrates, in air. Highly reflective Cr metal lines were deposited on fused silica substrates with linewidths as small as 200 nm and smaller still for Cr deposition on Au substrates. Metal deposition results from a multiphoton dissociation process which decomposes the metal hexacarbonyl in the adsorbed layer. Deposition of subsequent Cr layers reveals a change in the dissociation mechanism.
Evaluation of Disk Diffusion and Etest Compared to Broth Microdilution for Antifungal Susceptibility Testing of Posaconazole against Clinical Isolates of Filamentous Fungi (2007)

We performed Etest, disk diffusion, and broth microdilution susceptibility testing of posaconazole against 146 clinical isolates of filamentous fungi. By using provisional breakpoints for comparison purposes only, categorical agreement between the results of the agar-based methods and those of broth microdilution were 96 to 98%, with no very major errors. These agar-based methods hold promise as simple and reliable methods for determining the posaconazole susceptibilities of filamentous fungi.
Embryonic cortical stem cells secrete diffusible factors to enhance their survival (2003)

Neural stem cells play major roles in brain development. The precise regulation of neural stem cell survival and proliferation is important for determining numbers of terminally differentiated neurons and glia. In this study, we demonstrate that embryonic neural stem cells positively regulate their own survival by secreting diffusible factors. Single cells isolated from embryonic day 14 (E14) rat cortices were plated at clonal densities to avoid direct cell-cell contact. Clones positive for nestin, a neural stem cell marker, were formed from single cells in the presence of basic fibroblast factor (bFGF). The numbers of viable cells and clones were markedly increased by supplementing conditioned medium (stem cell conditioned medium, SCM) prepared from dense cultures of embryonic cortical stem cells. TUNEL and LDH assays confirmed SCM-mediated survival of embryonic cortical stem cells.
Dominant solvation effects from the primary shell of hydration: Approximation for molecular dynamics simulations (1995)

Abstract A simple approximation is developed to account for the dominant effects of solvation in molecular dynamics simulations of biopolymers. A small number of water molecules are included explicitly in the primary hydration shell around the biopolymer. A nonspherical confining potential responding dynamically to the conformational changes of the biopolymer is applied to prevent evaporation and to approximate the conditions of constant pressure of a bulk solution. Simulations of a spherical system of 25 water molecules are lined to adjust the empirical restraining potential to yield a uniform density distribution close to that in the bulk liquid. The primary hydration shell approach is tested with molecular dynamics simulations of simple hydrated peptides. The conformational equilibrium of alanine dipeptide and alanine tripeptide is examined using umbrella sampling calculations. The relative free energies of the C 7ax (ϕ = 60, ψ = −80) and α L (ϕ = 60, ψ = 60) conformations of the alanine dipeptide and the opened and closed conformations of a reversed β‐turn modeled with the alanine tripeptide were calculated. The results indicate that the primary hydration shell can reproduce the influence of solvent on small peptides that was observed in simulations involving a much larger number of water molecules. © 1995 John Wiley & Sons, Inc.
A lightweight reconfigurable security mechanism for 3G/4G mobile devices (2002)

Wireless communications are advancing rapidly. We are currently on the verge of a new revolutionary advancement in wireless data communications: the third generation of mobile telecommunications. 3G promises to converge mobile technology with Internet connectivity. Wireless data, multimedia applications, and integrated services will be among the major driving forces behind 3G. While wireless communications provide great flexibility and mobility, they often come at the expense of security. This is because wireless communications rely on open and public transmission media that raise further security vulnerabilities in addition to the security threats found in regular wired networks. Existing security schemes in 2G and 3G systems are inadequate, since there is a greater demand to provide a more flexible, reconfigurable, and scalable security mechanism that can evolve as fast as mobile hosts are evolving into full-fledged IP-enabled devices. We propose a lightweight, component-based, reconfigurable security mechanism to enhance the security abilities of mobile devices.