Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China

Development of the measurement-based carbon accounting means is of great importance to supplement the traditional inventory compilation. Mobile CO2/CH4 measurement provides a flexible way to inspect plant-scale CO2/CH4 emissions without the need to notify factories. In 2021, our team used a vehicle-based monitor system to conduct field campaigns in two cities and one industrial park in China, totaling 1143 km. Furthermore, we designed a model based on sample concentrations to evaluate CO2/CH4 emissions, EMISSION-PARTITION, which can be used to determine global optimal emission intensity and related dispersion parameters via intelligent algorithm (particle swarm optimization) and interior point penalty function. We evaluated the performance of EMISSION-PARTITION in chemical, coal washing, and waste incineration plants. The correlations between measured samples and rebuilt simulated ones were larger than 0.76, and RMSE was less than 11.7 mg m−3, even with much fewer samples (25). This study demonstrated the wide applications of a vehicle-based monitoring system in detecting greenhouse gas emission sources.
Enhance resolution on OCT profilometry measurements using harmonic artifacts

Optical Coherence Tomography (OCT) systems, as all low coherence interferometry equipments, are mainly grouped in two categories: Time Domain and Frequency Domain, depending on the methodology of data analysis. When measuring samples with high reflectivity, using Frequency Domain systems, detrimental features on OCT images can appear as a replication of a feature at multiple depths on the resulting image, referred as harmonics by the community. This work presents the potential to access better axial resolution and accuracy results on profile measurements analyzing higher harmonics. A variety of measurements of samples with different features, such as roughness, angles and movement evaluation were performed in order to demonstrate the advantages of this approach as a low cost way to have better visualization of reliefs close to the system nominal axial resolution.
SIGNED WORDS AND PERMUTATIONS, II;

As for the symmetric group of ordinary permutations there is also a statistical study of the group of signed permutations, that consists of calculating multivariable generating functions for this group by statistics involving record values and the length function. Two approaches are here systematically explored, using the flag-major index on the one hand, and the flag-inversion number on the other hand. The MacMahon Verfahren appears as a powerful tool throughout.
Fabrication of ultrasmall tunnel junctions by electron beam direct-writing

Fabrication of miniaturized tunnel junctions based on high-melting metals by the shadow evaporation technique is rather complicated. The thermal load of the suspended bridge mask during metal evaporation is assumed to be the most serious problem. As an alternative we have developed a preparation technique using e-beam direct-writing lithography in conjunction with material deposition by sputtering. To test the preparation process, we have fabricated single electron transistors (SETs) based on the metals Al and Nb, including mixed Al/Nb samples. For SETs made completely of Nb, we preferred Al0/sub x/ to the natural oxide NbO/sub x/ for barrier generation. The yield of functioning samples amounted to about 80%. By means of simple considerations we have estimated the tunnel capacitances to be of the order of a few 10/sup -16/ F, the tunnel resistance spread was less than one order of magnitude.
Comparison of Diagnostic Accuracy of Biomarkers With Pooled Assessments

New biomarkers are frequently being developed in laboratory settings for the early diagnosis of diseases. However, the assay can be so expensive to assess in some cases that the evaluation of a large number of assays becomes unfeasible. Under this setting pooling biospecimens becomes an appealing alternative. In this paper, we present the methodology to allow for general pooling strategies and different data structures, which include balanced and unbalanced pooling cases. An estimate of the area under the ROC curve of a single biomarker with its asymptotic mean and variance is provided. Furthermore, we develop a test statistic for comparing the areas under the ROC curves of two biomarkers. The methods are illustrated with data from a study evaluating biomarkers for coronary heart disease.
Structure, activity and function of the lysine methyltransferase SETD5

SET domain-containing 5 (SETD5) is an uncharacterized member of the protein lysine methyltransferase family and is best known for its transcription machinery by methylating histone H3 on lysine 36 (H3K36). These well-characterized functions of SETD5 are transcription regulation, euchromatin formation, and RNA elongation and splicing. SETD5 is frequently mutated and hyperactive in both human neurodevelopmental disorders and cancer, and could be down-regulated by degradation through the ubiquitin-proteasome pathway, but the biochemical mechanisms underlying such dysregulation are rarely understood. Herein, we provide an update on the particularities of SETD5 enzymatic activity and substrate specificity concerning its biological importance, as well as its molecular and cellular impact on normal physiology and disease, with potential therapeutic options.
Effects of Coastal Orography on Landfalling Cold Fronts. Part II: Effects of Surface Friction

Abstract The role of surface friction in modifying cold fronts as they make landfall in regions of steep coastal orography is examined by means of idealized simulations. Both the effects of the surface-roughness change at the coast in the absence of orography and the effects of orography are considered. Flow over a large and abrupt change in surface roughness generates an inertia–gravity wave above the boundary layer with characteristics similar to that associated with flow over a plateau. Deceleration of the cross-coast flow occurs over land, as well as for a short distance upstream, and causes retardation of frontal motion. A prescribed northerly postfrontal jet weakens rapidly after landfall. Maximum vertical motions are several centimeters per second; however, only small rainfall enhancement is expected since the updraft is very narrow and produces only small vertical displacements. Friction modifies the flow over the orography by increasing the upstream flow deceleration and reducing the magnitude of.
Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition

With the increasing demand of the power industry for load forecasting, improving the accuracy of power load forecasting has become increasingly important. In this paper, we propose an ultra short-term power load forecasting method based on similar day clustering and EEMD (Ensemble Empirical Mode Decomposition). In detail, the K-means clustering algorithm was utilized to divide the historical data into different clusters. Through EEMD, the load data of each cluster were decomposed into several sub-sequences with different time scales. The LSTNet (Long- and Short-term Time-series Network) was adopted as the load forecasting model for these sub-sequences. The forecast results for different sub-sequences were combined as the expected result. The proposed method predicts the load in the next 4 h with an interval of 15 min. The experimental results show that the proposed method obtains higher prediction accuracy than other comparable forecasting models.
Vertical transport and processing of aerosols in a mixed‐phase convective cloud and the feedback on cloud development

A modelling study of vertical transport and processing of sulphate aerosol by a mixed‐phase convective cloud, and the feedback of the cloud‐processed aerosols on the development of cloud microphysical properties and precipitation is presented. An axisymmetric dynamic cloud model with bin‐resolved microphysics and aqueous‐phase chemistry is developed and is used to examine the relative importance of microphysical and chemical processes on the aerosol budget, the fate of the aerosol material inside hydrometeors, and the size distributions of cloud‐processed sulphate aerosols. Numerical simulations are conducted for a moderately deep convective cloud observed during the Cooperative Convective Precipitation Experiments. The results show that aerosol particles that have been transported from the boundary layer, detrained, and then re‐entrained at midcloud levels account for a large fraction of the aerosol inside hydrometeors (∼40% by mass). Convective transport by the simulated cloud enhances upper‐tropospheric aerosol number and mass concentrations by factors of 2–3 and 3–4, respectively. Sensitivity studies suggest that, for the simulated case, aqueous chemistry does not modify the evolution of the cloud significantly. Finally, ice‐phase hydrometeor development is very sensitive to aerosol concentrations at midcloud levels. The latter result suggests that the occurrence of mid‐tropospheric aerosol layers that have been advected through long‐range transport could strongly affect cloud microphysical processes and precipitation formation. Copyright © 2005 Royal Meteorological Society
Influence of liquid bridges on the mechanical behaviour of polydisperse granular materials

We investigate a polydisperse granular material in which the particle interactions are governed by a capillary force law. The cohesion force for a grain‐pair with unequal diameters is expressed as an explicit function of the inter‐particle distance and the volume of the liquid bridge. This analytical relation is validated by experiments on a reference material. Then, it is completed by a rupture criterion and cast in the form of a force law that accounts for solid contact, capillary force and rupture characteristics of a grain‐pair. Finally, in order to evaluate the influence of capillary cohesion on the macroscopic behaviour, radial and axial compression tests on cylindrical assemblies of wet particles are simulated using a 3D distinct element method. Copyright © 2005 John Wiley & Sons, Ltd.
Development of Triamcinolone Acetonide Nanocrystals for Ocular Administration

Triamcinolone acetonide (TA) is a powerful anti-inflammatory drug used in the treatment of inflammatory ocular disorders; however, its poor aqueous solubility and ocular anatomical barriers hinder optimal treatment. The aim of this work was to obtain triamcinolone acetonide nanocrystals (TA-NC) to improve ocular corticosteroid therapy. Self-dispersible TA-NC were prepared by the bead milling technique followed by spray-drying, exhaustively characterized and then evaluated in vivo in an ocular model of endotoxin-induced uveitis (EIU). Self-dispersible TA-NC presented an average particle size of 257 ± 30 nm, a narrow size distribution and a zeta potential of −25 ± 3 mV, which remained unchanged for 120 days under storage conditions at 25 °C. In addition, SEM studies of the TA-NC showed uniform and spherical morphology, and FTIR and XRDP analyses indicated no apparent chemical and crystallinity changes. The subconjunctival administration of TA-NC in albino male white rabbits showed no clinical signs of ocular damage. In vivo studies proved that treatment with self-dispersible TA-NC alleviated the inflammatory response in the anterior chamber and iris in EUI rabbit eyes. Dispersible TA-NC are a promising approach to obtaining a novel nanometric TA formulation for ocular disorders.
A review of 3D reconstruction from high-resolution urban satellite images

ABSTRACT Automated 3D reconstruction based on satellite images has become a research hotspot at the interdisciplinary of photogrammetry and computer vision. The 3D results based on satellite images will play a key role in the understanding of global 3D information, monitoring of national geographic and urban construction, with the inherent advantage of satellite images in global coverage. Researchers have devoted substantial effort to develop state-of-the-art 3D reconstruction methods for two-view satellite images and multi-view satellite images. However, it is still a challenging task to obtain complete and accurate 3D results with satellite images due to the difference in shooting angles between satellite images, exposure differences and building occlusions in urban scenes. In this paper, we execute theoretical analyses and experimental evaluations about the popular 3D reconstruction methods towards satellite images following the order of two views to multiple views: (1) The advanced dense matching methods aimed at satellite images are reviewed theoretically and evaluated experimentally. (2) The state-of-the-art 3D reconstruction based on two-view satellite images are analysed in detail and experimentally evaluated with two-view WorldView-3 satellite images. (3) The popular fusion methods of multi-view DSM are analysed theoretically and assessed on multi-view WorldView-3 satellite images. This review will be helpful for researchers dedicated to enhancing the accuracy and completeness of the results of 3D reconstruction from urban satellite images.
Le probleme de job-shop

Le probleme de job-shop est couramment modalise par un graphe disjonctif. Pour la resolution, il faut arbitrer rapidement un grand nombre de disjonctions. Une nouvelle approche de resolution basee sur la notion d'arbitrage trivial est developpee. Un algorithme polynomial est propose, il est utilise pour la construction d'une heuristique et d'une methode exacte
Publications of the Astronomical Society of the Pacific 99:335-368, May 1987 CARBON AND NITROGEN ABUNDANCES IN METAL-POOR DWARFS OF THE SOLAR NEIGHBORHOOD*

We have analyzed spectra of 83 subdwarfs obtained with the Lick Observatory 3.1-m Shane telescope for C, N, and Fe abundances. Our stellar sample is composed principally of stars in the lowest metallicity domain, —1.5 > [M/H] > —3.2. Applying the model-atmosphere technique of spectrum synthesis to our intermediate-resolution spectra, we deduced [C/Fe] from the CH bands (X ~ 4300 À), [N/Fe] from the NH bands (X ~ 3360 À), and [Fe/H] from strong mostly Fe I features (3400 A < X < 3550 A). We find excellent agreement between our [Fe/H] values and the results obtained by other investigators based on high-resolution spectra. We find [C/Fe] to be essentially constant, with a scatter of cr ~ 0.18 dex, over the range —0.75 > [Fe/H] > —2.5, confirming that C is a primary nucleosynthetic species in this metallicity domain. We find a distinct upturn in the [C/Fe] values at the very lowest metallicities, i.e., [Fe/H] ^ —2.0. This behavior suggests a contribution to [C/Fe] from comparatively high-mass stars at early epochs. We find that the behavior of <[N/Fe]> as [Fe/H] declines is compatible with the assumption of a primary, as opposed to a secondary, origin of N, but the limiting value of <[N/Fe]> is found to be several tenths dex smaller than in previous investigations. We confirm that HD 74000 has [N/Fe] distinctively outside the range of typical subdwarfs, as does HD 25329. However, we found very few stars in our comparatively large sample with very high [N/Fe] indicating that such objects, whatever their origin, are quite atypical. Finally, we find strong evidence in our study and in the studies by Laird and by Tomkin and Lambert for a Teírdependence in the deduced subdwarf [N/Fe] values. This dependence, if not due to an analysis error common to the three investigations, may be evidence for the mixing of C -» N processed material to the stellar surface on the subdwarf main sequence.
Early Neolithic flint extraction in south-western Sweden: transregional practices on a local scale

Abstract Recent studies relate the introduction of Early Neolithic flint mining practices to the migration and rapid expansion of agricultural groups from north-western continental Europe into present-day Britain and southern Scandinavia. Here, the authors critically analyse this hypothesis, using a case study from south-western Sweden to demonstrate how transregional processes played out locally with their own dynamics, c. 4000 BC. They conclude that migration and population change only partly can explain what happened during the centuries immediately before and after 4000 BC. Local variation in human-material relationships also needs to be considered.
HYDROMAGNETIC FLOW OF A SECOND-GRADE FLUID IN A CHANNEL — SOME APPLICATIONS TO PHYSIOLOGICAL SYSTEMS

An asymptotic series solution for steady flow of an incompressible, second-grade electrically conducting fluid in a channel permeated by a uniform transverse magnetic field is presented. The depth of the channel is assumed to vary slowly in the axial direction. Analytical expressions are derived for the vorticity and pressure drop along the channel as well as the wall shear stress. It is found that for fixed values of the Reynolds number R and the non-Newtonian parameter K1, the wall shear stress increases with increasing value of magnetic parameter M. Numerical computations carried out for a specific slowly varying channel show that flow separation occurs for both second-grade (K1 0) fluids when |K1|<0.15. The analysis also reveals the interesting result that while flow separation takes place for a second-order fluid for K1≥0.15, no separation occurs at all for |K1|≥0.15 for a second-grade fluid.
The Empirical Nexus between Data-Driven Decision-Making and Productivity: Evidence from Pakistan’s Banking Sector

Abstract The effective use of digital technologies to create business value has generated enormous data, and using data in decision-making is vital. Although there is growing empirical evidence in favour of a positive association between informed decision-making and firm performance in developed countries, there is little to no evidence of a large-scale study in an emerging economic context. Moreover, there has been scant empirical evidence on how DDDM affects productivity in the banking sector of developing countries. This study examined the impact of DDDM on the productivity of Pakistan’s banking sector from 2016 to 2020 based on primary and secondary data collected from banks registered in Pakistan. The findings suggest that banks who adopt DDDM practices show a 4–7% increase in productivity depending on adjustment to change. We believe this study would shed light on the importance of DDDM in the banking sector of developing countries.
A Physiologically Based Pharmacokinetic Model of Ketoconazole and Its Metabolites as Drug–Drug Interaction Perpetrators

The antifungal ketoconazole, which is mainly used for dermal infections and treatment of Cushing’s syndrome, is prone to drug–food interactions (DFIs) and is well known for its strong drug–drug interaction (DDI) potential. Some of ketoconazole’s potent inhibitory activity can be attributed to its metabolites that predominantly accumulate in the liver. This work aimed to develop a whole-body physiologically based pharmacokinetic (PBPK) model of ketoconazole and its metabolites for fasted and fed states and to investigate the impact of ketoconazole’s metabolites on its DDI potential. The parent–metabolites model was developed with PK-Sim® and MoBi® using 53 plasma concentration-time profiles. With 7 out of 7 (7/7) DFI AUClast and DFI Cmax ratios within two-fold of observed ratios, the developed model demonstrated good predictive performance under fasted and fed conditions. DDI scenarios that included either the parent alone or with its metabolites were simulated and evaluated for the victim drugs alfentanil, alprazolam, midazolam, triazolam, and digoxin. DDI scenarios that included all metabolites as reversible inhibitors of CYP3A4 and P-gp performed best: 26/27 of DDI AUClast and 21/21 DDI Cmax ratios were within two-fold of observed ratios, while DDI models that simulated only ketoconazole as the perpetrator underperformed: 12/27 DDI AUClast and 18/21 DDI Cmax ratios were within the success limits.
A two-dimensional microwave luneberg lens

Summary-A two-dimensional microwave model of the Luneberg lens has been designed employing the TE 10 mode. It consists of two 36-inch diameter, almost-parallel, conducting plates with the space between plates filled with polystyrene. Its thickness varies with the normalized radius, T, to give the desired index of refraction n = \sqrt{2-r_2} Due to symmetrp about the center, this lens maintains constant gain and beam shape as a feed is scanned over its circumference, while the side lobe level remains at least 18 db below peak power. Experimental patterns show good agreement with computed patterns in the two principal planes.
GMR and SDT sensor applications

Giant Magnetoresistance (GMR) and Spin Dependent Tunneling (SDT) material structures are highly sensitive to magnetic fields and can be miniaturized and integrated with silicon circuits. These characteristics lend themselves to several applications including magnetic field sensing, galvanic isolators, and array sensing. Designs of highly miniaturized digital magnetic sensors using both a GMR bridge chip and a signal conditioning chip in a single small package are being used in cylinder position applications. Isolators using integrated coils and GMR sensors with on-chip electronics offer speed enhancements over established opto-isolator technology, and may improve system performance where ground noise is a limiting factor. Arrays of GMR or SDT sensors could have applications in nondestructive evaluation, vehicle detection, and bio-assay applications, and with the on-chip intelligence available in these sensors, could lead to "brilliant" sensing.
On unifying the concepts of scale, instrumentation, and stochastics in the development of multiphase transport theory

A generalized theory of multiphase transport is presented which combines the concepts of scale, instrumentation, stochastics, and time series with the development of transport equations. By defining the filtering process as a convolution of a measure P with a field property ψ, we are able to exploit the Fourier transform to place plausible restrictions on an instrument in frequency space so as to make its measurement relevant to its physical environment. An ideal instrument is defined which filters out high-frequency noise (corresponding to short distances) and yet does not alter the structure of low frequencies. Using ideal instruments we successively filter out lower frequency noise in a multiscale, multiphase environment. Formulas are developed to relate the autocorrelation of a field property on one scale of motion to that on any other scale while taking into account the types of instruments used in the measuring process. An equation relating the integral scale on one scale of motion to the integral scale on any other scale of motion is developed. Power spectra are developed which relate spectra on different scales to the measuring instrument used. By successively applying filtering theorems, a hierarchy of multiscale transport equations is developed. Filtered properties in the transport equations are mass averages. Different properties are allowed to be measured by different instruments and different instruments are allowed on different scales of motion and for different phases. The concept of a wide sense stationary, ergodic process is introduced to develop mass average autocorrelations and spectra over scales of motion as a function of measuring devices.