Miracle-dz/UniFAR-FTUs huggingface dataset:
Stock price indices prediction combining deep learning algorithms and selected technical indicators based on correlation

PurposeThe prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in attractive SMs. This article aims to apply a correlation feature selection model to identify important technical indicators (TIs), which are combined with multiple deep learning (DL) algorithms for forecasting SM indices.Design/methodology/approachThe methodology involves using a correlation feature selection model to select the most relevant features. These features are then used to predict the fluctuations of six markets using various DL algorithms, and the results are compared with predictions made using all features by using a range of performance measures.FindingsThe experimental results show that the combination of TIs selected through correlation and Artificial Neural Network (ANN) provides good results in the MADEX market. The combination of selected indicators and Convolutional Neural Network (CNN) in the NASDAQ 100 market outperforms all other combinations of variables and models. In other markets, the combination of all variables with ANN provides the best results.Originality/valueThis article makes several significant contributions, including the use of a correlation feature selection model to select pertinent variables, comparison between multiple DL algorithms (ANN, CNN and Long-Short-Term Memory (LSTM)), combining selected variables with algorithms to improve predictions, evaluation of the suggested model on six datasets (MASI, MADEX, FTSE 100, SP500, NASDAQ 100 and EGX 30) and application of various performance measures (Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error(RMSE), Mean Squared Logarithmic Error (MSLE) and Root Mean Squared Logarithmic Error (RMSLE)).
From 2D TO 3D Through Modelling Based On A Single Image

Three‐dimensional modelling from single images remains an interesting topic of investigation in the research community, even though range sensors are becoming a common alternative for the generation of 3D information. The interest in single‐image‐based modelling is motivated by a wide spectrum of applications such as cultural heritage, civil engineering, urban planning and even criminology. In this paper a complete new production flowline is presented for modelling based on a single image. The modelling process consists of a series of familiar steps in photogrammetry and computer vision: feature extraction, vanishing point computation, camera self‐calibration, 3D reconstruction and dimensional analysis. In particular, the methodology developed for single‐image‐based modelling takes a scientific approach combining several proven techniques with robust estimators. Finally, in order to demonstrate its capabilities, the reported examples include several real situations applied in different contexts.
Strain accumulation on the San Jacinto fault near Riverside, California

Geodimeter measurements from 1969 to 1975 of a geodetic network (aperture 12 km) across the San Jacinto fault near Riverside, California, indicate simple right-lateral shear accumulation at the rate 0.4 +- 0.1 . mu.strain/y (engineering shear) parallel to the fault. A 12-km level line extending across the fault shows no consistent pattern of elevation change. The measured shear accumulation is interpreted in terms of a conventional dislocation model for strike slip, i.e., continuous slip on the vertical fault beneath a surficial locked zone. The observation of strain accumulation constrains the model to cases in which the ratio of the slip rate to the depth of the locked zone is about 1.2 x 10/sup -6//y (e.g., 25 mm/y slip below 20 km).
Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System

The implementation of the Global Positioning System (GPS) network of satellites and the development of small, high-performance instrumentation to receive GPS signals have created an opportunity for active remote sounding of the Earth's atmosphere by radio occultation at comparatively low cost. A prototype demonstration of this capability has now been provided by the GPS/MET investigation. Despite using relatively immature technology, GPS/MET has been extremely successful [Ware et al., 1996; Kursinski et al., 1996], although there is still room for improvement. The aim of this paper is to develop a theoretical estimate of the spatial coverage, resolution, and accuracy that can be expected for atmospheric profiles derived from GPS occultations. We consider observational geometry, attenuation, and diffraction in defining the vertical range of the observations and their resolution. We present the first systematic, extensive error analysis of the spacecraft radio occultation technique using a combination of analytical and simulation methods to establish a baseline accuracy for retrieved profiles of refractivity, geopotential, and temperature. Typically, the vertical resolution of the observations ranges from 0.5 km in the lower troposphere to 1.4 km in the middle atmosphere. Results indicate that useful profiles of refractivity can be derived from ∼60 km altitude to the surface with the exception of regions less than 250 m in vertical extent associated with high vertical humidity gradients. Above the 250 K altitude level in the troposphere, where the effects of water are negligible, sub-Kelvin temperature accuracy is predicted up to ∼40 km depending on the phase of the solar cycle. Geopotential heights of constant pressure levels are expected to be accurate to ∼10 m or better between 10 and 20 km altitudes. Below the 250 K level, the ambiguity between water and dry atmosphere refractivity becomes significant, and temperature accuracy is degraded. Deep in the warm troposphere the contribution of water to refractivity becomes sufficiently large for the accurate retrieval of water vapor given independent temperatures from weather analyses [Kursinski et al., 1995]. The radio occultation technique possesses a unique combination of global coverage, high precision, high vertical resolution, insensitivity to atmospheric particulates, and long-term stability. We show here how these properties are well suited for several applications including numerical weather prediction and long-term monitoring of the Earth's climate.
Vienna mapping functions in VLBI analyses

In the past few years, numerical weather models (NWM) have been investigated to improve mapping functions which are used for tropospheric delay modeling in VLBI and GPS data analyses. The Vienna Mapping Functions VMF are based on direct raytracing through NWM, and so they are able to exploit the full information provided in the NWM. On the other hand, the Isobaric Mapping Functions IMF are using intermediate parameters calculated from the NWM. In this study, pressure level data from ECMWF (European Centre for Medium‐Range Weather Forecasts) are applied to determine the coefficients of the VMF and the IMF. Used for the analyses of IVS‐R1 and IVS‐R4 VLBI sessions, both mapping functions improve the repeatability of baseline lengths (by ∼10% for IVS‐R1 and ∼5% for IVS‐R4) compared to the Niell Mapping Functions NMF.
Altimetric assimilation with water property conservation

A simple method for assimilating surface pressure data into a 21-level, eddy-resolving Cox model in a double-gyre configuration [see Cox, 1985] is introduced. A conservation principle is used to derive the new water column structure based on rearrangement of the preexisting water masses. This respects the long timescales required to modify water properties on deeper isopycnals, while still allowing for immediate changes in isopycnal geometry and associated currents. Water columns are displaced vertically by an amount which reduces the surface pressure update to zero at the bottom. Current updates are then calculated geostrophically. An identical twin experiment is performed for 1 year with complete surface pressure data assimilated every 9 days. Thermocline temperature and current errors decrease rapidly after a single assimilation of surface pressure. Errors in subthermocline currents and isopycnal potential vorticity (stratification) within the thermocline decrease only after model integration. Deep current (3000 m) RMS errors are, after 1 year, reduced by up to 60%. A mixed layer scheme is added to the simple assimilation procedure to account better for changes in water properties near the surface (where property conservation is less realistic). Assimilation, with both surface pressure and surface temperature data provided, is also described. Surface temperature data have the biggest immediate impact on the circulation where the mixed layer is deep, e.g., in the subtropical gyre or in the far north, although after 1 year it does not contribute much over surface pressure assimilation alone. We speculate that the surface temperature data will contribute more for temporally varying surface boundary conditions, where it influences water properties subducted into the thermocline. This assimilation scheme should be easy to implement in any model framework and can be modified to incorporate an error analysis for use with real data sets.
Detektor Analisis Dan Perekaman Database Konsentrasi Gas Hasil Reaksi Fischer-Tropsch Berbiaya Murah Menggunakan Sensor Gas Berbasis Arduino

Perkembangan teknologi sensor dan antarmuka komputer yang sangat pesat dapat dimanfaatkan untuk membangun suatu peralatan yang dapat digunakan untuk pengukuran dan perekaman konsentrasi gas hasil penelitian secara cepat. Pengembangan peralatan sensor gas sekaligus perekaman data secara kontinyu berbiaya murah, diperlukan untuk meningkatkan performa penelitian khususnya dalam pengolahan hasil penelitian. Salah satu penelitian yang memerlukan data konsentrasi gas secara kontinyu adalah reaksi Fischer-Tropsch. Gas yang lolos dari kondensor terakhir terdiri dari CO, H2, N2, CO2, CH4, C2-4 yang diencerkan dengan udara pada pada rasio udara/gas buang sebesar 150, selanjutnya dilewatkan kotak yang berisi sensor gas CO (Arduino MQ-7, kapasitas pembacaan 20-2000 ppm), CO2 (Arduino MG-811, kapasitas pembacaan 350-10.000 ppm) dan CH4 (Arduino MQ-4, kapasitas pembacaan 200-10.000 ppm). Pengenceran dilakukan untuk mengakomodasi batas pembacaan masing-masing sensor. Ketiga sensor ini dihubungkan dengan sebuah komputer untuk perekaman data kadar CO sisa dan CO2 dan CH4 yang terbentuk. Hasil implementasi pengukuran sensor yang diproses menggunakan Arduino ditampilkan dalam sebuah layar LCD dalam satuan ppm (part per million) dan datanya disimpan dalam Microsoft Excel. Jarak waktu perekaman dapat diatur dalam program tersebut. Kalibrasi diperlukan untuk mengukur akurasi sensor. Tingkat kesalahan (error) pada kalibrasi yang membandingkan konsentrasi gas standar dengan konsentrasi gas sampel adalah 14,91% untuk CH4; 17,98% untuk CO2 dan 14,60% untuk CO.Kata kunci: detektor gas, karbonmonoksida, karbondioksida, metana, Arduino
Gingival Fibroblasts Are Sensitive to Oral Cell Lysates Indicated by Their IL11 Expression

Damaged cells that appear as a consequence of invasive dental procedures or in response to dental materials are supposed to release damage-associated signals. These damage-associated signals not only support tissue regeneration but might also contribute to unwanted fibrosis. The aim of this study was to identify a molecular target that reflects how fibroblasts respond to necrotic oral tissue cells. To simulate the cell damage, we prepared necrotic cell lysates by sonication of the osteocytic cell line IDG-SW3 and exposed them to gingival fibroblasts. RNAseq revealed a moderate increase in IL11 expression in the gingival fibroblasts, a pleiotropic cytokine involved in fibrosis and inflammation, and also in regeneration following trauma. Necrotic lysates of the human squamous carcinoma cell lines HSC2 and TR146, as well as of gingival fibroblasts, however, caused a robust increase in IL11 expression in the gingival fibroblasts. Consistently, immunoassay revealed significantly increased IL11 levels in the gingival fibroblasts when exposed to the respective lysates. Considering that IL11 is a TGF-β target gene, IL11 expression was partially blocked by SB431542, a TGF-β receptor type I kinase inhibitor. Moreover, lysates from the HSC2, TR146, and gingival fibroblasts caused a moderate smad2/3 nuclear translocation in the gingival fibroblasts. Taken together and based on IL11 expression, our findings show that fibroblasts are sensitive to damaged oral tissue cells.
TRACE A trajectory intercomparison: 2. Isentropic and kinematic methods

Kinematic and isentropic trajectories are compared quantitatively during a single 5-day period (October 13-18, 1992) when several flights for the Transport and Atmospheric Chemistry Near the Equator--Atlantic (TRACE A) experiment were conducted off the west coast of Africa. European Centre for Medium-Range Weather Forecasts (ECMWF) data are used to compute the 5-day backward trajectories arriving at locations over the South Atlantic Ocean and nearby parts of South America and southern Africa. Two versions of kinematic trajectories are examined. One version employs vertical motions supplied with the ECMWF data. These trajectories often differ greatly from those based on the isentropic assumption. The kinematic trajectories usually undergo considerably greater vertical displacements than their isentropic counterparts; however, most diabatic rates are consistent with those of synoptic-scale systems. Ratios of acetylene to carbon monoxide are related to backward trajectories at various locations along a TRACE A flight. A second version of kinematic trajectories employs vertical motions diagnosed from ECMWF horizontal wind components using the continuity equation. These vertical motions are stronger than those supplied with the ECMWF data, causing many of the trajectories to have larger vertical displacements and considerably different paths than the original kinematic versions. Many of these kinematic trajectories undergo diabatic rates that exceed generally accepted values on the synoptic scale. This occurs, in part, because the diagnosed vertical motions are inconsistent with the ECMWF data. The research indicates that the kinematic procedure yields realistic 5-day backward trajectories when the three-dimensional wind data are available from a numerical model or other dynamically consistent data set such as provided by ECMWF.
Measurement of surface radiation fluxes and cloud optical properties during the 1994 Arctic Ocean Section

During a voyage to the north pole from Alaska by the icebreakers USCGC Polar Sea and Canadian CGC Louis S. St.-Laurent (the 1994 Arctic Ocean Section, July 24 to September 3) an atmospheric radiation and remote sensing experiment measured downwelling shortwave and longwave radiation reaching the sea ice surface. The experiment included a Fourier transform infrared (FTIR) spectroradiometer which measured zenith radiance at 1 cm -1 resolution in the middle infrared wavelength range 5-20 μm, an Eppley pyranometer measuring most of the downwelling shortwave flux (0.28-2.80 μm), an Eppley pyranometer measuring the downwelling near-infrared flux (0.78-2.80 μm), and an Eppley pyrgeometer measuring the downwelling longwave flux. In conjunction with a discrete-ordinates radiative transfer model, the FTIR emission spectra are used to estimate 8-12 μm cloud emissivity and effective radius of the cloud droplet size distribution. The broadband shortwave flux measurements are used to estimate shortwave cloud scattering optical depth. Most of the FTIR emission spectra recorded under overcast skies are consistent with cloud effective radius in the range 10-12 μm, but 27% of the spectra are more consistent with the range 4-6 μm, suggesting an occasional continental aerosol influence to Arctic cloud microphysics. The average daily shortwave cloud-scattering optical depth ranged from 2 to 46, which is similar to a range inferred from radiometer data recorded at Barrow, Alaska, during the same season. The downwelling shortwave flux measurements and estimates of net surface flux are generally consistent with a four-decade Russian climatology but also suggest that the frequency of cloud cover sampled during the 1994 Arctic Ocean Section was somewhat larger than the climatological average. These radiation measurement data from the 1994 Arctic Ocean Section should be useful for examining the treatment of atmospheric radiation and surface energy input in Arctic climate model simulations.
Ground-Truth Database for Regional Seismic Identification Research,

The Ground-Truth Database (GTDB) provides a subset of the events necessary for seismic discrimination research: accurately located events with regional waveforms and known source type. While it is true that digital waveform data are easily exchanged through the Internet, the data are significantly more useful to discrimination research when event windows have been extracted from the continuous data and when additional documented information, such as source type, is associated with each event. Such a database, readily available and in a consistent format, minimizes the extensive efforts of data collection, organization, review and verification that are often the first phase of new research projects. Having this type of information is essential for development and assessment of algorithms for seismic event location and classification without having to assume the characteristics of the very events under investigation. The Ground-Truth Database was introduced at the 14th Annual Seismic Research Symposium (Grant and Coyne, 1992) under an ARPA contract. By the time of the 15th Annual Seismic Research Symposium, 288 known events comprising 10 datasets in Western Europe and Scandinavia were available to the research community (Grant et al., 1993b). A large part of the success of the CSS GTDB was due to researchers who wanted to make data available to others by providing the results of their own data-collection efforts to the GTDB. Two general methods were used to build these datasets. If the target events were the subject of a research study where ground-truth was published for a list of events, then we collected the associated waveforms. Another approach was to look at the regional seismicity bulletins produced by the IMS (Bache et al., 1990) and seek macroseismic information for significant clusters of events. In resuming the compilation of the GTDB we shall follow the model of the previous work but focus mainly on the Middle East and North Africa.
Flow Field Induced by Sea Waves over Brick‐Pattern Ripples

This paper examines the oscillatory flow induced by progressive gravity waves near a sea bottom covered with three‐dimensional ripples. Previous works on the subject, in which only two‐dimensional bottom waviness were considered, are thus extended. By assuming small values of the ratio e between ripple amplitude and the thickness of the bottom boundary layer, the solution is given analytically by means of a perturbation approach. Arbitrary values of the ratio r between fluid displacement and ripple wavelength are considered. For vanishing values of r an asymptotic solution is also determined as an independent check for the previous one. Even though the solution can provide the flow field over arbitrary bottom topographies, detailed results are presented only for the profile of brick‐pattern ripples, which is characterized by transverse crests joined by longitudinal bridges. Finally, relevance of the results to understanding the mechanism of three‐dimensional ripple formation (brick‐pattern ripples, tile r.
Evaluation of fresh vegetable microbiological contamination in fast-food restaurants

PurposeFresh vegetables contain advantageous phytochemical components, making them one of the most significant sources of nutrition. The threat of harmful bacteria still exists because these vegetables are not heated in restaurants before being consumed. Therefore, this study aimed to evaluate the microbial quality of fresh vegetables in restaurants of different levels.Design/methodology/approachA total of 499 fresh vegetable samples (from sandwiches and fresh-cut vegetable salads) were collected from 3 different types of food service establishment: 201 from international restaurants (IRs), 210 from national restaurants (NRs), and 88 from cafeterias (CAs). The samples were prepared and inoculated on specific growth media. The aerobic mesophilic bacteria (AMB) Campylobacter spp. , Staphylococcus aureus (S. aureus), Enterobacteriaceae, Escherichia coli (E. coli) and yeast and molds were counted, and Listeria monocytogenes, Salmonella spp. and Escherichia coli O157 were detected using specialized medium.FindingsHigh counts of S. aureus, above 3 log cfu/g, suggested that 71.5% of samples collected from NRs and 77.3% from CA were not accepted, whereas 81.6% of samples collected from IRs were accepted. The low population of E. coli, less than 2 log cfu/g, suggested that 99.0, 97 and 92.0 % of samples collected from IRs, NRs and CA, respectively, were accepted. Listeria monocytogenes and Escherichia coli O157 were absent from every sample. One sample was positive for Salmonella spp. in each of the NR and CA sample groups.Originality/valueRIs adhere to health and hygiene standards better than NRs and CAs, according to the findings of vegetable contamination tests.
Rotary Empirical Orthogonal Function Analysis of Currents near the Oregon Coast

Abstract Empirical orthogonal function (EOF) analysis in the frequency domain is extended to complex time series. EOFs are calculated from the eigenvectors of the band-averaged rotary cross-spectral matrix. This gives EOF amplitude and phase for negative and positive frequencies, corresponding to clockwise and anticlockwise rotation for the hodograph model. Rotary EOF analysis is applied to velocity and temperature measurements from the Coastal Upwelling Experiment (CUE-II) during July and August 1973 on the continental shelf off Oregon. Rotary EOFs for horizontal velocities are computed for the diurnal, near-inertial and semidiurnal frequency bands (approximately 1.0, 1.5 and 2.0 cycles per day, respectively) and for frequency bands below 0.3 cycles per day. In addition, single-sided frequency-space EOFs for vertical displacement are calculated from temperature measurements. The first-mode velocity EOF for the semidiurnal frequency band shows baroclinic structure for clockwise rotation and barotropic str.
A two‐dimensional analytical solution of groundwater response to tidal loading in an estuary

A two‐dimensional transient groundwater flow equation for a confined nonleaky aquifer is solved analytically with an estuary tidal‐loading boundary condition. The amplitude and phase of the tide varies with position and time, respectively. These variations, called the “damping coefficient,” for amplitude, and “separation constant,” for phase along the coastline, are considered in the analysis. The solution presented is more advanced than the traditional one‐dimensional analytical solution with a one‐dimensional tidal‐loading boundary condition. The damping coefficient and separation constant in the application study are obtained from the harmonic analysis of the observed tidal level in Apalachicola Bay, Florida. The analytical solution is compared to a two‐dimensional finite difference solution. A numerical simulation illustrates the response of piezometric head to tidal loading. The piezometric head and phase from both solutions match closely. The analytical and numerical solutions show that a piezometric head along both sides of the estuary can be predicted given a tidal elevation at the entry of an estuary. The fluctuation of piezometric head in response to tidal loading diminishes rapidly inland and diminishes slowly along the coastline of an estuary. There are also obvious phase shifts associated with spatial variations as the wave propagates.