Light Production Research Articles

Effects of anthropogenic light on anuran calling site

The natural environment can be negatively impacted by a variety of human activities, including the production of artificial light at night. Recent studies suggest that pollution from anthropogenic light alters animal behavior. Despite being highly nocturnal, little attention has been given to anurans and the effects artificial light at night has on their behavior. This study investigated whether artificial light influenced male call site selection in east Texas anurans. Ambient light levels were quantified at five sites that varied in urbanization and artificial light levels. Calling males were located and ambient light was then measured at the male's call location. Light levels at those call locations were compared to the general light environment as measured at random locations in the area. There was a consistent pattern where males at the brightest sites called from locations darker than the general light environment. However, male call locations at the brightest sites were generally brighter than those at the darker sites suggesting that, while male anurans avoid illuminated areas for calling, males in more urbanized populations may be unable to do so. As such, male anurans at sites with higher light pollution may experience a form of habitat loss where preferred darker habitat is not available.

Artificial intelligence-assisted auto-optical inspection toward the stain detection of an organic light-emitting diode panel at the backplane fabrication step

This paper attempts to implement an auto-optical inspection (AOI) system using artificial intelligence (AI) technology for cost reduction in the production of organic light emitting diode (OLED) panels, specifically at the production stage of the thin film transistor (TFT) . Further, to improve the accuracy of mura detection, the possible causes of mura were properly identified, and a model to control and predict mura occurrence was realized based on the sufficient analysis of these causes. More specifically, an explainable AI (XAI) prediction model was developed using the fab image and test element group (TEG) engineering methods, which could be applied as input data for the circuit simulations to improve the accuracy of the overall simulations. Initially, we attempted to predict backplane stain using only the TFT width, length dimension, and resistance–capacitance (RC) extraction data, but the results were not accurate. Consequently, we identified, via sufficient analysis, that the correlation between the dehydrogenation and stain, and introduced an AI model. As a result, the accuracy was improved from 50 to 80%, which is more effective in terms of time and cost, compared to conventional simulation through the TCAD analysis. Overall, by implementing the inspection method described in this paper, it was possible to detect stains at the backplane stage, which was only possible during the final test stage, thereby resulting in significant cost savings.

Oxygen vacancy driven luminescence, ferromagnetic and electronic structure properties of Eu doped CeO2 nanoparticles

Chemical co-precipitation route prepared nanoparticles of CeO2 and rare-earth cation Eu- doped Ceria Ce1-xEuxO2 (x = 0.03, 0.05, and 0.07) were investigated for various properties. Strained and phase maintained doped nanoparticles with crystallite sizes between 13 and 26 nm were confirmed by XRD, Rietveld refinement and UV–Vis–NIR measurements. Strained nanoparticles by replacement of host Ce with Eu in +2 and + 3 states were confirmed by X-ray Photoelectron Spectroscopy analyses which also, relate the crop of oxygen vacancies with the concentration of Eu doping by analysing Ce3+/Ce4+ ratio. Formation of various complexes involving host and doped cations and mediated by oxygen vacancies indicate the formation of F0, F+ and F2+ centres. Photoluminescence studies and their CIE chromaticity diagram underline the possible usage of these nanoparticles in Light Emitting Diodes due to production of light under 5000K. All the characterization techniques were on the same page in indicating our findings. F-centre exchange (FCE) and Bound Magnetic Polarons (BMP) mechanisms were underlined for the observed weak ferromagnetic behaviour along with M-T studies. A systematic study on the concentration of Eu-doping in CeO2 nano-particle to understand the role of oxygen vacancies and their effect on tailoring the luminescence, electronic structure and magnetic properties for variety of applications.

Exploring light nuclei production at RHIC and LHC energies with A Multi-Phase Transport model and a coalescence afterburner

In heavy-ion collisions, understanding how light nuclei species are produced can provide insight into the nature of hadronic interactions in extreme conditions. It can also shed light on understanding the matter-antimatter asymmetry and dark matter searches in astrophysical processes. To investigate the production mechanism of light nuclei such as deuteron, triton, and helium-3, we use a naive coalescence afterburner coupled to the well-known “A Multi-Phase Transport model” (AMPT). We focus on studying the production of light nuclei in central Au+Au collisions at different center of mass energies (sNN = 19.6, 39, and 200 GeV) and in Pb+Pb collisions at sNN = 2.76 TeV, at mid-rapidity. We generate events with the string melting version of AMPT, and feed the information of the nucleons with spatial and momentum conditions into the coalescence afterburner. Our study reports differential and integrated yields in transverse momentum (pT) of the light nuclei in different center of mass energies. We also estimate the coalescence parameters (BA) as a function of pT and collision energy for (anti-)deuterons, tritons and helium-3s for Au+Au and Pb+Pb collisions, which are compared to other light nuclei production studies. All results are compared with measurements from the STAR and ALICE experiments.

Modelling of a vacuum residue hydrocracking in an industrial slurry phase reactor

AbstractThe upgradation of the bottom of the barrel has gained much interest across the refineries due to severe environmental rules, limitations of conventional oil reserves, and its flexibility to produce light end products which benefit end users. Slurry phase hydrocracking is one of the growing technologies to fulfil the increasing demand for light cut. Modelling of an industrial slurry phase reactor (SPR) for vacuum residue hydrocracking using different kinetic models is proposed. The axial dispersion model (ADM) is used for modelling an industrial SPR. The mathematical model of the reactors is incorporated for the three different lump kinetic models. This study deals with the continuous stirred tank reactor (CSTR) and SPR modelling, followed by industrial SPR modelling. The small lab‐scale reactor models are validated with the experimental data reported in the literature. The study's objective was to investigate the one‐dimensional and two‐dimensional concentration dynamics of each lump along the axial and radial positions of industrial SPR. The vacuum residue conversion into the light fractions was obtained by more than 73% in industrial SPR. Also, the yield of vacuum gas oil and resins were evaluated as 49% and 63%, respectively. The sensitivity analysis was performed to explain the effect of process variables. The optimum range was found as a length of 15 m, liquid hourly space velocity (LHSV) of 0.2 h−1, 1% catalyst concentration, and 420°C reaction temperature to enhance the throughput of the reactor.

Searching for QGP droplets with high- pT hadrons and heavy flavor

The search for the smallest quark-gluon plasma (QGP) droplets in nature has motivated recent small collisions system programs at RHIC and LHC. Unambiguous identification of jet quenching due to final-state interactions is key to confirming QGP formation in these reactions. We compute the nuclear modification factors $R_{AA}$ and $R_{p(d)A}$ of charged hadrons and heavy flavor mesons in large (Au-Au, Xe-Xe, Pb-Pb) and small ($d$-Au, $p$-Pb, O-O) colliding systems, respectively. Our results include the Cronin effect and initial-state parton energy loss in cold nuclear matter. In the final state, hard partons undergo collisional energy loss and branching that was recently derived using Soft-Collinear-Effective-Theory with Glauber Gluon (SCET$_{\rm G}$). In large colliding systems, medium-modified QCD evolution of the fragmentation functions dominates the nuclear correction. As the system size decreases, we find that cold nuclear matter effects, collisional energy loss, and QGP-induced radiations can become equally important. A systematic scan over the medium size and mass/flavor dependence of $R_{AA}$ provides the opportunity to separate these individual contributions and identify QGP signatures in small systems. Predictions for $R_{AA}^{h}$, $R_{AA}^{D}$, $R_{AA}^{B}$ in O-O collisions at $\sqrt{s}=7$ TeV are presented with and without the formation of a QGP and contrasted with the corresponding $R_{p(d)A}$ calculations. Upcoming single-hadron measurements at the LHC will not only test the O-O predictions for both light and heavy flavor production, but will shed light on the possibly very different dynamics of $p$-A and A-A reactions at similar soft particle production multiplicities.

STEM CELL MOBILIZATION AND AUTOLOGOUS STEM CELL TRANSPLANTATION AFTER BENDAMUSTINE, PREDNISONE AND BORTEZOMIB INDUCTION IN MULTIPLE MYELOMA PATIENTS WITH RENAL IMPAIRMENT

Background: High-dose therapy followed by autologous stem cell transplantation (ASCT) is the standard first line treatment for younger patients (<70 years) with multiple myeloma (MM). Approximately 20%–50% of all patients already display an impaired kidney function at diagnosis. However, MM patients with severe renal dysfunction are excluded from most ASCT studies. Bortezomib and bendamustine have both been identified as quickly acting and well-tolerated drugs for patients with MM-induced renal failure. In this retrospective study we analyzed the efficacy of a BPV induction therapy prior ASCT in newly diagnosed MM patients depending on the severity of renal impairment. Methods: Between October 2008 and November 2019, 135 patients with newly diagnosed MM were treated with a BPV-induction therapy consisting of bendamustine 60 mg/m2 on days 1 and 2, bortezomib 1.3 mg/m2 on days 1, 4, 8 and 11 and prednisone 100 mg on days 1, 2, 4, 8 and 11 followed by chemomobilization with cyclophosphamide (1-4 g/m2) and ASCT. Results: The majority of patients (n = 117; 87%) responded after the BPV-induction with median of 2 (range 1–6) cycles with 9 sCR (7%), 3 CR (2%), 12 nCR (9%), 39 VGPR (29%), and 54 PR (40%). Stem cell counts of CD 34+ ≥20 × 106/L in the peripheral blood were achieved in 131 (97%) patients after a median of 12 (range 9–17) days. Further four patients with poor stem cell mobilization on day 15 received additional plerixafor. After first ASCT ORR increased to 99% with 33 sCR (24%), 10 CR (7%), 32 nCR (24%), 41 VGPR (30%) and 17 PR (13%). With a median observation time of 51 months, median PFS was 47 months and 60 months OS was 67%. Transplant related mortality was 0.7% (n = 1). Patients were divided into four groups depending on the severity of renal impairment: group A 13 patients with eGFR <15 mL/min, group B 15 patients with eGFR 15–29 mL/min, group C 19 patients with eGFR 30–59 mL/min and group D 88 patients with eGFR ≥60 mL/min. At the time of diagnosis, 8 of 13 patients in group A were dialysis dependent. We observed no significant difference in the median PFS between patients with normal/mild (D), moderate (C), severe renal dysfunction (B) and renal failure/dialysis (A) (50 vs 47 vs 34 vs 24 months, p = 0.053) and in the 60 months OS (69 vs. 72 vs 58 vs. 70%, p = 0.23). In 23 of 38 patients with eGFR ≤50mL/min, we found rapid recovery of renal function during the first two BPV cycles, with four of eight dialysis-dependent patients reverting to independence. BPV induced a rapid reduction in light chain production in the first few days of treatment, potentially preventing the development of irreversible renal failure. Following the ASCT, the renal response rate improved from 61% after BPV induction to 74% with 18 CRrenal (47%), 3 PRrenal (8%) and 7 MRrenal (18%). Conclusions: Our results indicate that the BPV induction followed by high-dose therapy and ASCT is feasible, effective and well tolerated in patients with MM-induced renal failure. Encore Abstract - previously submitted to EBMT 2023 Keywords: Combination Therapies, Multiple Myeloma, Stem Cell Transplant No conflicts of interests pertinent to the abstract.

Low-carbon conversion of crude oil to C2-C4 olefins by micro Py-GC/MS and a small-scale fluidized-bed reactor

Green utilization of crude oil has become an important way for energy transformation in the petrochemical industry. Crude oil to aimed low-carbon (C2-C4) olefins had been conducted by micro pyrolysis-gas chromatograph/mass spectrometer (Py-GC/MS) and a small-scale fluidized-bed reactor. Fe-modified Al2O3/USY catalysts were used in the catalytic pyrolysis of crude oil. The results showed that product distribution altered hugely after Fe incorporation. Suitable incorporation of Fe can promote the conversion of crude oil, while excessive Fe incorporation could reduce the yield of light olefins. Bifunctional 1%Fe/USY catalyst showed good catalytic dehydrogenation pyrolysis activity in light olefin production, which could guide the clean and low-carbon conversion of crude oil.

3D structured Bessel beam polarization and its application to imprint chiral optical properties in silica

Polarization plays a crucial role in light–matter interactions; hence its overall manipulation is an essential key to unlock the versatility of light manufacturing, especially in femtosecond laser direct writing. Existing polarization-shaping techniques, however, only focus on their manipulation in the transverse plane of light beams, i.e., two-dimensional control. In this paper, we propose a novel passive strategy that exploits a class of femtosecond laser written space varying birefringent elements to shape the polarization state along the optical path. As a demonstration, we generate a three-dimensional structured Bessel beam whose linear polarization state slowly evolves along the focus (typ. 90° within 60λ). Such a “helically polarized” Bessel beam allows imprinting “twisted nanogratings” in SiO2 glass which result in an extrinsic optical chirality at a micrometric scale and own a high optical rotation. Our work provides new perspectives for three-dimensional polarization manipulation and insights into applications in structured light, light–matter interaction, and chiral device fabrication.

Direct monitoring of meropenem therapeutic efficacy against Klebsiella pneumoniae respiratory infection by bioluminescence imaging.

Introduction. Klebsiella pneumoniae is a major threat to public health worldwide. It is the causative agent for multiple disease presentations including urinary tract infection, septicemia, liver abscess, wound infection and respiratory tract infection. K. pneumoniae causes community- and hospital-acquired pneumonia, which is a devastating disease associated with high mortality rates.Hypothesis. There is a growing concern about the emergence of multidrug-resistant K. pneumoniae strains complicating the treatment with the current available therapeutics; therefore, there is an urgent need for the development of new antimicrobial agents.Aim. K. pneumoniae causes an acute respiratory disease in mice and in the current work we investigated the capability to perform non-invasive monitoring of bioluminescent Klebsiella to monitor therapeutic efficacy.Methodology. We engineered a bioluminescence reporter strain of K. pneumoniae to monitor the impact of antibiotics in a murine respiratory disease model.Results. We demonstrate that bioluminescence correlates with bacterial numbers in host tissues allowing for a non-invasive enumeration of bacterial replication in vivo. Light production is directly linked to bacterial viability, and this novel bioluminescent K. pneumoniae strain enabled monitoring of the efficacy of meropenem therapy in arresting bacterial proliferation in the lung.Conclusion. The use of non-invasive bioluminescent imaging improves preclinical animal model testing to detect study outcome earlier and with higher sensitivity.

Zeolite Supported Pt for Depolymerization of Polyethylene by Induction Heating.

We demonstrate that for polyethylene depolymerization with induction heating (IH), using a bifunctional (Pt- or Pt-Sn-containing zeolite) hydrocracking catalyst, we can obtain high hydrocarbon product yields (up to 95 wt % in 2 h) at a relatively low surface temperature (375 °C) and with a tunable product distribution ranging from light gas products to gasoline- to diesel-range hydrocarbons. Four zeolite types [MFI, LTL, CHA(SSZ-13), and TON] were chosen as the supports due to their varying pore sizes and structures. These depolymerization results are obtained at atmospheric pressure and without the use of H2 and result in an alkane/alkene mixture with virtually no methane, aromatics, or coke formation. We also demonstrate how IH helps overcome diffusional resistances associated with conventional thermal heating and thereby shortens reaction times.

Application of artificial neural network for prediction of 10 crude oil properties

AbstractThis study aims to develop an industrially reliable and accurate method to estimate crude oil properties from their Fourier transform infrared spectroscopy (FTIR) spectra. We used the complete FTIR spectral data of selected crude oil samples from seven different Canadian oil fields to predict 10 important crude oil properties using artificial neural networks (ANNs). The predicted properties include specific gravity, kinematic viscosity, total acid number, micro carbon content, and production of light and heavy naphtha, Kero, and distillate in oil refineries. The 107 different (65 light oil and 42 heavy/medium oil samples) crude oil samples used in this study came from seven oil fields and reservoirs across Canada. In line with standard practice, we used 80% of the dataset for training the ANN models and used the remaining 20% of the crude oil samples to test the models. In the ANN analysis, the mean squared error (MSE) was used as the loss function in models, and the mean absolute prediction error (MAPE) was used as a reference to compare the performance of different neural networks constructed with different numbers of layers. This work demonstrates that FTIR spectroscopy is a promising technique that provides rapid and accurate estimates for the oil properties of interest to the industry. A comparison of the values predicted by the validated ANN models and their corresponding measured (actual) values showed excellent prediction with the acceptable range of error (below 15%) aimed for by our industry partner for all properties except viscosity, for which building models based on the natural logarithmic values of measured viscosities significantly improved the results.

Severe Consequences of the Development of Periodontal Disease in the Example of Employees Working in Light Industrial Plants

The article provides information about employees working in light industry production factories and periodontal disease, its development, spread, as well as its serious consequences.

Hydro-liquefaction of the ashless coal from de-polymerization of Shengli lignite

This work performed de-polymerization of Shengli lignite (SL) to remove minerals, and the resultant product (denoted as SDP) was subjected to hydro-liquefaction to prepare value-added aromatic products, especially n-hexane soluble fractions (HS for abbreviation). Compared with raw lignite, SDP is easily converted to light products (HS) with low H2 consumption due to its small molecular weight and less free radicals generated during hydro-liquefaction. Appropriate temperatures (e.g., 400 °C) are required for efficient conversion of SDP into HS fractions. Ni-Mo-S/Al2O3 catalyst effectively promotes hydrogenation of SDP into HS during the reaction, moreover, the condensation reaction is effectively reduced. The yield of HS (YHS) reaches to 73.7% and the yield of THFI (YTHFI) is only 2% with the use of Ni-Mo-S/Al2O3 at 400 °C. The Aromatic fractions in the solvent effectively reduce YTHFI through suppression of condensation reaction, and the hydrogen donor solvents remarkably increase YHS. The HS fractions primarily consist of aromatic hydrocarbons with 1–3 rings and aromatic derivatives containing alkyl as well as various oxygen-containing functional groups.

Cost Estimates of Roll-to-Roll Production of Organic Light Emitting Devices for Lighting

White organic light emitting devices (WOLEDs) offer distinct advantages as solid state lighting sources, including high energy efficiency, superior color quality, and a flexible, thin profile that can accommodate a vast array of possible fixture designs. Recent advances in device lifetime and high speed deposition suggest that mass production of WOLED panels is approaching an inflection point. To understand the tradeoffs in the volume manufacturing of WOLED lighting panels, in this work, we estimate the cost of white WOLED panel production based on vacuum and vapor phase deposition in a roll-to-roll production line envisioned to yield an annual capacity of at least 6 × 106 m2. Assuming a WOLED operating luminance at 10 klm/m2, we anticipate a $12.5/klm cost of a WOLED light engine that includes the cost of the current driver and packaging. With incremental reduction in material and driver costs and improved luminance, the cost of WOLED lighting can be reduced to $6.3/klm in the near term, potentially positioning WOLEDs for use in numerous premium lighting applications.

Suitability of NASA’s Black Marble Daily Nighttime Lights for Population Studies at Varying Spatial and Temporal Scales

This paper investigates the potential link between changes in NASA’s Black Marble VIIRS/NPP Gap-Filled Lunar BRDF-Adjusted Nighttime Lights Daily L3 Global 500 m Linear Lat Lon Grid (VNP46A2) nighttime lights product (NTL) and human dynamics, particularly population counts and changes at a variety of spatial and temporal scales. We conducted analyses in four case studies at varying resolutions to explore the relationship of NTL data for population studies, including demographic research, disaster mitigation and adaptation planning, and infrastructure development. The analyses were conducted using different administrative geographies, including a refugee camp, a subnational region, and a country. We compared changes in population counts, density, migration, and displacement against changes in daily, weekly, monthly, and annual NTL values. Our case study results demonstrate that out-migration does not always lead to a decrease in NTL. We found that rural population decline did not correspond to a decrease in NTL. Despite significant out-migration in many rural areas NTL remained largely unchanged. NTL provided essential information on infrastructure damage in the short-term aftermath of this disaster; however, NTL alone was not correlated to the location of displaced individuals. Through news reports, we were able to corroborate the NTL changes to downtimes of the electrical systems. Monthly NTL averages were highly correlated to population counts, but a pixel-level analysis showed that the changes in NTL were primarily attributed to economic diversification. In summary, NTL is the product of several factors including demographic, environmental, economic, and political forces that shape electricity infrastructure, and we suggest that NTL data must first be parameterized with ancillary ground-level information in order to be effectively applied to population models.

CLERODENDRUM GLANDULOSUM L. INCORPORATED FUNCTIONAL PASTA: PHYTOCHEMICAL, TEXTUAL, STRUCTURAL AND SENSORY STUDIES

With an increasing concern by health conscious people search for more nutritious pasta products rich in minerals, phenolic compounds and dietary low glycemic index and have become the subject of primary significance. In this work effect of the addition of leaf powder as well as leaf extracted powder of Clerodendrum glandulosum L. on properties of pasta was studied. Functional pasta was developed by using a blend of durum wheat semolina, leaf powder and extracted leaf powder. The plant powder and extracts powder were added in the formulation with four proportions (2.5%, 5.0%, 7.5% and 10%) respectively. The obtained products were analyzed for their cooking attributes, textural properties, colour, phytochemical properties and sensory characteristics. Incorporation of leaf powder and extracts remarkably elevated the antioxidant activity (42.01 ± 1.40 to 74.19 ± 2.58%) and total phenolic content (13.96 ± 1.84 to 43.55 ± 2.55 mg GAE/ g). The moisture content decreases (55.79 ± 1.53 to 48.58 ± 1.51%) with increase in leaf or leaf extract powder. The swelling index and water absorption index of functional pasta were recorded lower values than the control pasta. With the addition of more leaf and extract powder, the product's lightness (L*) and yellowness (b*) reduced while its redness (a*) grew. The hardness, springiness and chewiness were found to be relatively lower than that of the Control. The findings of the current study showed that among the pastas that have been fortified, the pasta with Clerodendrum glandulosum L. additions up to E-2.5% had the highest sensory acceptance. Good marketing expectations are given because it supplied sensory acceptance similar to the standard product.

Thermodynamic analysis and techno-economic assessment of fluid catalytic cracking unit in the oil refining process

Fluid catalytic cracking is an important, expensive, and energy-consuming unit that produces light olefins, gases, and naphtha from heavy residues. This study aims to increase light products and reduce heavy products at the FCC unit, simulated using Aspen HYSYS software. Exergoeconomic analysis using the Sankey diagram was performed for the first time for this unit, which provides the possibility of determining the important quantities in the process from a thermodynamic and thermo-economic perspective. Based on the results, the atmospheric tower consumes the most energy (about 64%) and is the most destructive unit which is responsible for 61% of exergy destruction. In terms of energy consumption, the FCC unit is ranked second with 16%. However, the FCC unit with 11% share is the third destructive unit, but an exergy efficiency of 98% was observed in this unit. A total of 267 MW of the tower's exergy was destroyed, making it the second most destructive unit in the plant. Compared to other process units, the FCC unit accounts for 9% of the total cost, while the fractionator tower is the most expensive unit in the process at 48%. The Sankey chart shows crude oil has the highest cost stream at $744,145 per hour. The FCC unit has the highest exergoeocomic factor, while the cooler has the lowest exergoeconomic factor, with 2.4 M$/h cost of exergy destruction, as well as the lowest exergy efficiency.

Defluorination of per-fluorinated compound (PFC) by microwave discharge plasma in liquid: A green and efficient water treatment technology

Per-fluorinated compound (PFC) is a kind of persistent and refractory organic pollutants with high concerns in recent years. Perfluorooctane sulphonate (PFOS) and Perfluorooctanoic acid (PFOA) are the most typical per-fluorinated compounds in the water environment. In this work, a new treatment method-microwave discharge plasma in liquid (MDPL) is used to study the defluorination of PFOA and PFOS. The effects of initial concentration of pollutants, microwave input power, distance between electrode and liquid according to the characteristics of pollutants on the defluorination rate are studied. The results show that the defluorination of PFOA and PFOS by MDPL is excellent, with the defluorination of 58.4% and 26.8%. Because MDPL has high mass transfer efficiency and the discharge process is accompanied by the production of ultraviolet light and reactive species. Adding Fe2+ to synergistic degradation, the defluorination of PFOA is 82.9%, PFOS is 52.6%. The defluorination increased by 24.5% and 25.8%, the synergistic factor reached 2.18 and 2.37. Reactive species experiments confirms that eaq- is the key reactive species that initiates the decomposition of PFOA and PFOS. In addition, the characteristics of intermediates and free radicals in the process of defluorination are discussed. Reactive species experiments confirms that eaq- is the key reactive species that initiates the decomposition of PFOA and PFOS. Finally, the decomposition mechanism of PFOA and PFOS are analyzed and the degradation pathway of the reaction processes is given. This work proves that MDPL is efficient for the defluorination of PFOA and PFOS, which also provides a new insight for the treatment of PFC pollution.

Proton Structure Functions at Next-to-Leading Order in the Dipole Picture with Massive Quarks.

We predict heavy quark production cross sections in deep inelastic scattering at high energy by applying the color glass condensate effective theory. We demonstrate that, when the calculation is performed consistently at next-to-leading order accuracy with massive quarks, it becomes possible, for the first time in the dipole picture with perturbatively calculated center-of-mass energy evolution, to simultaneously describe both the light and heavy quark production data at small x_{Bj}. Furthermore, we show how the heavy quark cross section data provides additional strong constraints on the extracted nonperturbative initial condition for the small-x_{Bj} evolution equations.