Tracer Data Research Articles

Clinical Practice Patterns and Evidence-Based Medicine in Blepharoplasty: A 15-Year Review of Continuous Certification Tracer Data from the American Board of Plastic Surgery.

The American Board of Plastic Surgery (ABPS) Continuous Certification tracer data on blepharoplasty offers valuable information on national trends in clinical practice. The present study was performed to analyze evolving trends in blepharoplasty and compare practice patterns to Evidence-Based Medicine (EBM) publications within the same timeframe. Tracer data for blepharoplasty procedures performed by ABPS-certified surgeons between 2005 and 2020 was analyzed. Data between two timeframes, 2005-2014 (early cohort, EC) and 2015-2020 (recent cohort, RC), were compared to identify evolving trends in blepharoplasty over time. Results were then compared to EBM-based publications. Of 3,050 blepharoplasties (1,510 EC; 1,540 RC), 82% were performed in female patients and the average age was 56 years. Blepharoplasty was most frequently performed in an ambulatory setting (56%) compared to in hospital (25%); significantly more cases are being performed in the office (p< 0.001) in the RC compared to the EC. Mean surgical duration has decreased by 13 minutes (p< 0.001), and fewer surgeries are being performed with concomitant procedures (p< 0.001). Fewer surgeons use antibiotics (p< 0.001), and fewer surgeons use DVT prophylaxis in the form of sequential compression devices after anesthesia (p< 0.001). More skin resections were performed for upper blepharoplasties (p=0.016), while fewer cases of lower lid blepharoplasty involved either skin-muscle flaps (p=0.038) or transcutaneous fat removal (p=0.004). Most surgeons did not perform canthal tightening during their blepharoplasty (82%). A review of over 15-years of ABPS blepharoplasty tracer data allows surgeons to compare their practice with national trends and EBM. The tracer data illustrates a shift in technique towards shorter and simpler procedures in the office setting.

Long Distance Transport of Subsurface Sediment‐Derived Iron From Asian to Alaskan Margins in the North Pacific Ocean

AbstractThe international GEOTRACES program has been instrumental in demonstrating how marine sediments are a critical source of dissolved Fe to the world's oceans. Here, we present dissolved iron (dFe) from the GEOTRACES North Pacific GP15 section, which, alongside other sediment‐source tracers (including dissolved δ56Fe, Mn, 228Ra, and particulate Fe), allows for identification of the dFe provenance of three distinct dFe depth maxima at the Alaskan margin. Two of these (shelf and abyssal depths) are of local Alaskan sedimentary origin. The third, a mid‐depth dFe maximum with an absence of 228Ra, is an advected signal that, based on tracer data from Western Pacific GEOTRACES transects and circulation models, must be advected from sedimentary sources on the Asian margin, ∼5,000 km away. This study illustrates the importance of measuring diagnostic sedimentary tracers like radium when assigning local margins as sedimentary sources of marine trace metal budgets.

Can the young water fraction reduce predictive uncertainty in water transit time estimations?

Transit time distributions (TTDs) of streamflow are informative descriptors of catchment hydrological functioning and solute transport mechanisms. Conventional methods for estimating TTDs generally require model calibration against extensive tracer data time series, which are often limited to well-studied experimental catchments. We challenge this limitation and propose an alternative approach that uses the young water fraction (Fywobs), an increasingly used water age metric which represents the proportion of streamflow with a transit time younger than 2-3 months, and that can be robustly estimated with sparsely measured tracer data. To this end, we conducted a proof of concept study by modelling TTDs using StorAge Selection (SAS) functions with oxygen isotopes (δ18O) measurements for 23 diverse catchments in Germany. In a Monte-Carlo approach, we computed the (averaged) marginal TTDs of a prior parameter distribution and derived a model-based Fyw (Fywsim). We compared Fywsim with Fywobs, obtained from δ18O measurements, and constrained the prior SAS parameters distribution. Subsequently, we derived a posterior distribution of parameters and resulting model simulations. Our findings showed that using Fywobs to constrain the model effectively reduced parameter equifinality and simulation uncertainty. However, the value of Fywobs on reducing model uncertainty varied across sites, with larger values (Fywobs≥0.10) leading to simulations with a narrower uncertainty band and higher model efficiency, whilst smaller values (Fywobs≤0.05) had limited influence on reducing model output uncertainty. We discussed the potential and limitations of combining SAS functions with Fywobs, and considered broader implications of this approach for enhancing our understanding of catchment functioning and water quality status.

Lagrangian gradient regression for the detection of coherent structures from sparse trajectory data.

Complex flows are often characterized using the theory of Lagrangian coherent structures (LCS), which leverages the motion of flow-embedded tracers to highlight features of interest. LCS are commonly employed to study fluid mechanical systems where flow tracers are readily observed, but they are broadly applicable to dynamical systems in general. A prevailing class of LCS analyses depends on reliable computation of flow gradients. The finite-time Lyapunov exponent (FTLE), for example, is derived from the Jacobian of the flow map, and the Lagrangian-averaged vorticity deviation (LAVD) relies on velocity gradients. Observational tracer data, however, are typically sparse (e.g. drifters in the ocean), making accurate computation of gradients difficult. While a variety of methods have been developed to address tracer sparsity, they do not provide the same information about the flow as gradient-based approaches. This work proposes a purely Lagrangian method, based on the data-driven machinery of regression, for computing instantaneous and finite-time flow gradients from sparse trajectories. The tool is demonstrated on a common analytical benchmark to provide intuition and demonstrate performance. The method is seen to effectively estimate gradients using data with sparsity representative of observable systems.

Cross-species striatal hubs: Linking anatomy to resting-state connectivity

Corticostriatal connections are essential for motivation, cognition, and behavioral flexibility. There is broad interest in using resting-state functional magnetic resonance imaging (rs-fMRI) to link circuit dysfunction in these connections with neuropsychiatric disorders. In this paper, we used tract-tracing data from non-human primates (NHPs) to assess the likelihood of monosynaptic connections being represented in rs-fMRI data of NHPs and humans. We also demonstrated that existing hub locations in the anatomical data can be identified in the rs-fMRI data from both species. To characterize this in detail, we mapped the complete striatal projection zones from 27 tract-tracer injections located in the orbitofrontal cortex (OFC), dorsal anterior cingulate cortex (dACC), ventromedial prefrontal cortex (vmPFC), ventrolateral PFC (vlPFC), and dorsal PFC (dPFC) of macaque monkeys. Rs-fMRI seeds at the same regions of NHP and homologous regions of human brains showed connectivity maps in the striatum mostly consistent with those observed in the tracer data. We then examined the location of overlap in striatal projection zones. The medial rostral dorsal caudate connected with all five frontocortical regions evaluated in this study in both modalities (tract-tracing and rs-fMRI) and species (NHP and human). Other locations in the caudate also presented an overlap of four frontocortical regions, suggesting the existence of different locations with lower levels of input diversity. Small retrograde tracer injections and rs-fMRI seeds in the striatum confirmed these cortical input patterns. This study sets the ground for future studies evaluating rs-fMRI in clinical samples to measure anatomical corticostriatal circuit dysfunction and identify connectional hubs to provide more specific treatment targets for neurological and psychiatric disorders.

The role of fault pathways for modern and deep recharge to a semi-confined aquifer: revised analysis of modern water leakage pathways in the Davis wellfield, Memphis, Tennessee, USA

Hydrologic tracer, borehole log and geophysical data provide new insight into recharge sources and pathways to the semi-confined Memphis aquifer in the Davis wellfield, Memphis, Tennessee, U.S.A. New data and recent studies highlight the importance of faults as potential pathways for the migration of modern water into the Memphis aquifer, an important regional public, industrial, and agricultural water supply. Geochemical and environmental tracer data collected over the past 28 years, combined with hydrologic, stratigraphic, and structural data, were used to evaluate changes in water quality and different recharge pathways to the Memphis aquifer. Assessment of stratigraphic and structural relationships argue for the wellfield being bound by a fault along the bluff line (west) and another fault or faults along the eastern and southeastern margins. Modern water recharge (< 60 years old) occurs through the fault along the western boundary of the wellfield, whereas modern water and, seasonally, deep-seated (helium-bearing) fluids recharge along the fault on the southeastern margin. Each recharge source and pathway present different vulnerabilities, suggesting that the role of faults in wellfields within active tectonic regions needs to be assessed.

Hess’ ‘Drainage’ Wells Show Strong Production but Face Cost and Spacing Challenges

A new kind of horizontal well has emerged from an experiment in North Dakota’s Bakken and Three Forks shales. It uses an uncemented slotted liner to produce hydrocarbons by intercepting fractures that originate from offset wells. Hess Corp. revealed the concept over 2 years ago, confirming at an SPE conference that crude was flowing from the pilot well. The New York City-headquartered oil company also announced that additional trials were in progress, though it withheld specific production figures. The wait for those key details is now over. At the recent Unconventional Resources Technology Conference (URTeC) in Houston, Hess presented its first technical paper on the augmented drainage development (ADD) pilots which it claims have proven the approach to be, at the very least, a technical success. In URTeC 4044110, the company’s authors underlined their optimism in noting that ADD wells “could lead to a step change in productivity and recovery in unconventional developments.” Hess acknowledges that economic and technical hurdles currently stand in the way of that vision. But the upbeat assessment is backed by impressive production data from its inaugural pilot launched in 2021. Placed about 240 ft between two actively stimulated Middle Bakken wells, the first drainage well exceeded expectations, averaging nearly 1,700 B/D of crude in the first 8 days of flowback. Output fell to about 1,500 B/D over the next few days as the nearest actively stimulated well—called a “standard well” by Hess—began its flowback. This was one of several confirmations that the wells were in direct communication. “A lot of bets were lost on this well—maybe not by me, but by a lot of people,” remarked Craig Cipolla, a principle completions engineering advisor for Hess. Cipolla presented the company’s findings at the conference this past summer. He said the ADD well also pumped out about as much frac sand as is seen in a typical shale well, which in addition to tracer data, verified that it was well propped. During the initial production period, the first ADD well achieved about 85% of the output of the offsetting standard wells on the pad. Although this figure eventually dropped to just over 40% over the next 2 years, it was enough for Hess to consider the concept validated. Based on the results from all three pilots, Hess estimates ADD wells in the Bakken can be expected to achieve 10 to 45% of the output of typical hydraulically fractured horizontal wells. On the low end, the oil recovered from distant and low-conductivity fractures likely won’t justify drilling even a wellbore as barebones as the ADD concept calls for. Conversely, if a drainage well produces too much oil it is a sign that well spacing is too tight and that it is overly competing for resources with more-expensive offsets. This is likely the story of why the first ADD well came on so strong.

Translation of monosynaptic circuits underlying amygdala fMRI neurofeedback training.

fMRI neurofeedback using autobiographical memory recall to upregulate the amygdala is associated with resting-state functional connectivity (rsFC) changes between the amygdala and the salience and default mode networks (SN and DMN, respectively). We hypothesize the existence of anatomical circuits underlying these rsFC changes. Using a cross-species brain parcellation, we identified in non-human primates locations homologous to the regions of interest (ROIs) from studies showing pre-to-post-neurofeedback changes in rsFC with the left amygdala. We injected bidirectional tracers in the basolateral, lateral, and central amygdala nuclei of adult macaques and used bright- and dark-field microscopy to identify cells and axon terminals in each ROI (SN: anterior cingulate, ventrolateral, and insular cortices; DMN: temporal pole, middle frontal gyrus, angular gyrus, precuneus, posterior cingulate cortex, parahippocampal gyrus, hippocampus, and thalamus). We also performed additional injections in specific ROIs to validate the results following amygdala injections and delineate potential disynaptic pathways. Finally, we used high-resolution diffusion MRI data from four post-mortem macaque brains and one in vivo human brain to translate our findings to the neuroimaging domain. Different amygdala nuclei had significant monosynaptic connections with all the SN and DMN ipsilateral ROIs. Amygdala connections with the DMN contralateral ROIs are disynaptic through the hippocampus and parahippocampal gyrus. Diffusion MRI in both species benefitted from using the ground-truth tracer data to validate its findings, as we identified false-negative ipsilateral and false-positive contralateral connectivity results. This study provides the foundation for future causal investigations of amygdala neurofeedback modulation of the SN and DMN through these anatomic connections.

Labrador Coastal Current and productivity variations offshore Nain (Nunatsiavut) during the late Holocene

The Labrador Coastal Current (LCC) transports cold and fresh waters of Arctic origin towards the North Atlantic and has a strong influence on the coastal ecosystems and climate of eastern Canada. Here, we present a multi-decadally resolved record of changes in sea-surface and near-bottom conditions of the LCC during the last 3000 years based on the analysis of biogenic tracers (organic-walled dinoflagellate cysts, carbon, and nitrogen geochemistry) and sedimentary content (sortable silt, magnetic susceptibility, elemental ratios) in the upper 2 m of sediments in a core retrieved offshore Nain, Nunatsiavut. Our data reveal multi-centennial bottom flow strength variability in the LCC, with strong linkages to changes in regional ocean circulation patterns. At about 2100- and 550-years BP, the sedimentological and biogenic tracer data suggest changes in the LCC bottom current intensity (decline and strengthening, respectively) that coincide with shifts in the persistent mode of the North Atlantic Oscillation. Our proxy data suggests increased biological production during the last 500 years compared to the preceding 2500 years, possibly reflecting a gradual decrease length of the sea-ice season. The data show a decline in the LCC strength during periods of increased polar water influence identified in previous palaeoceanographic studies conducted further north, which may be attributed to the trapping of freshwater in sea ice during these periods. Our results highlight the dynamical oceanographic and atmospheric factors that influence the LCC and the coastal ecosystems along its path and confirm that the processes in Baffin Bay impact the Labrador Shelf oceanography.

Selecting Appropriate Model Complexity: An Example of Tracer Inversion for Thermal Prediction in Enhanced Geothermal Systems

AbstractA major challenge in the inversion of subsurface parameters is the ill‐posedness issue caused by the inherent subsurface complexities and the generally spatially sparse data. Appropriate simplifications of inversion models are thus necessary to make the inversion process tractable and meanwhile preserve the predictive ability of the inversion results. In this study, we investigate the effect of model complexity on fracture aperture inversion and thermal performance prediction in a field‐scale EGS model. Principal component analysis was used to map the aperture field to a low‐dimensional latent space. The complexity of the inversion model was quantitatively represented by the percentage of total variance in the original aperture fields preserved by the latent space. Tracer, pressure and flow rate data were used to invert for fracture aperture through an ensemble‐based inversion method, and the inferred aperture field was used to predict thermal performance. With an over‐simplified aperture model, ensemble collapse occurred. The inverted aperture models failed to resolve necessary flow and transport features, leading to a biased thermal performance prediction. A complex aperture model involved excessive features and was prone to overinterpreting the inversion data. Both the tracer/pressure/flow rate data reproduction and thermal prediction showed significant uncertainties, making it difficult to properly estimate long‐term thermal performance. Fortunately, our results indicate that there exists an appropriate model complexity which can simultaneously match inversion data and predict thermal performance with an acceptable uncertainty. The quality of the fit of tracer data appears to be a useful indicator of such an appropriate model complexity.

OBSTACLE OF COVID-19 DIGITAL SURVEILLANCE AT PUBLIC HEALTH CENTERS: EXPLORATORY STUDY IN WEST JAVA

Background: The quality of COVID-19 data from surveillance information systems is still an issue in low-middle-income countries (LMIC), including Indonesia, which uses various applications that have the potential to affect surveillance performance. Purpose: To explore the procedures and obstacles to using various digital surveillance applications at Public Health Centers (PHCs) in Indonesia. Methods: Qualitative research with exploratory studies was used. The setting was in the PHC in Kuningan, Majalengka, and Indramayu, City of Cirebon, Indonesia, with surveillance officer participants and contact tracer data manager, as many as 8. Data was collected by interviewing and using snowball sampling techniques between May 12 and 20, 2022. Data were analyzed using content analysis. Results: The initial data collection procedure involves obtaining data from various health facilities. Data recording was with SILACAK and the New All-Recorded application. Data analysis with descriptive epidemiology was reported to the head. Data quality was achieved with monitoring. Obstacles in data collection were rejection, community paradigm, and fear. The obstacles of the application are maintenance, not immediately updating that day, not entering at that time, sometimes it does not run smoothly, there are no tools for visualization, and data distribution per place not yet available. Conclusion: In COVID-19 surveillance procedures, from initial data collection, data recording, data analysis, data reporting, and data quality assurance, there are obstacles to data collection in the community and to applications used for surveillance. The District Health Office must compile new procedures that include data management stages, epidemiological data analysis, and visualization.

Comparing mouse and human cingulate cortex organization using functional connectivity.

The subdivisions of the extended cingulate cortex of the human brain are implicated in a number of high-level behaviors and affected by a range of neuropsychiatric disorders. Its anatomy, function, and response to therapeutics are often studied using non-human animals, including the mouse. However, the similarity of human and mouse frontal cortex, including cingulate areas, is still not fully understood. Some accounts emphasize resemblances between mouse cingulate cortex and human cingulate cortex while others emphasize similarities with human granular prefrontal cortex. We use comparative neuroimaging to study the connectivity of the cingulate cortex in the mouse and human, allowing comparisons between mouse 'gold standard' tracer and imaging data, and, in addition, comparison between the mouse and the human using comparable imaging data. We find overall similarities in organization of the cingulate between species, including anterior and midcingulate areas and a retrosplenial area. However, human cingulate contains subareas with a more fine-grained organization than is apparent in the mouse and it has connections to prefrontal areas not present in the mouse. Results such as these help formally address between-species brain organization and aim to improve the translation from preclinical to human results.

Abstract PO2-15-11: Kinetic Analysis of [5-11C] glutamine PET tracer data in breast cancer: Preclinical studies in mouse models

Abstract Background: Glutamine is an important metabolic substrate in many aggressive tumors, with comparable importance to glucose metabolism. Utilizing human breast cancer mouse xenograft models, we studied the kinetics of the PET imaging agent, [5-11C] glutamine, a biochemical authentic substrate for glutamine metabolism, to further characterize the metabolism of glutamine and downstream labeled metabolites. Studies were performed with and without inhibition of the enzyme, glutaminase (GLS), the first step in glutamine catabolism that generates glutamate, and key target for therapy directed to glutamine-metabolizing cancers. Methods: The study used xenograft mouse models for two breast cancer cell lines, HCC1806, a highly glutaminolytic triple-negative cell line, and MCF-7, a hormone receptor positive line with only low levels of glutaminolysis. Mice were injected with 5-[11C]L-glutamine, and the contributions of individual metabolites to the total [11C] signal in blood and tumor tissue were estimated at 10, 20, and 30 minutes after injection by assaying the fractional contributions of [5-11C] glutamine and labeled metabolites, specifically [5-11C] glutamate, [11C] CO2 and all other metabolites with [11C], in both blood and tumor tissue. This generated estimated time activity curves for [5-11C] glutamine and downstream metabolites in both HCC1806 and MCF-7 mouse models with and without CB-839 treatment, an inhibitor of GLS. We also investigated a compartment model that describes these data, including model simulations that fit the model to match the measured curves. Results: We found that, out to 30 minutes post-injection, the vast majority of tumor radioactivity was in the form of either 5-11C] glutamine or [5-11C] glutamate, with smaller amounts of radioactivity in the form of more downstream metabolites, including [11C]CO2. Systemic administration of the glutaminase inhibitor alters the arterial input curve by reducing the systemic rate of conversion of [5-11C] glutamine to [5-11C] glutamate. However, in GLS active tumors, [5-11C] glutamate retained in the large cellular glutamate pool represents a greater fraction of total radioactivity than in the blood and leads to a total tumor time-activity curve that is only marginally different than the total tumor time-activity curve after GLS inhibition. Data from blood and tissue analysis were used to test a hypothetical kinetic model for [5-11C] glutamine, which provided estimates of glutamate and glutamate tumor tissue concentrations and tumor GLS activity that agree with direct measurements in the animal models. Conclusion: The study of [ 5-11C] glutamine in breast cancer models leads to kinetic insight that are in line with biochemical studies and direct measurement taken for tumor tissue obtained from the animal models. Retention of metabolized [5-11C] glutamine as [5-11C] glutamate in a large tissue pool in tumors with high GLS activity makes non-invasive inference of GLS activity challenging without additional ex vivo analysis, supporting the use of non-metabolized glutamine analogs such as such as [18F](2S,4R)4-fluoroglutamine ([18F]4F-Gln) to infer in vivo glutamine metabolism. Citation Format: Christopher Hensley, Prashanth Padakanti, Hoon Choi, Christina Dulal, Hsiaojiu Lee, Austin Pantel, Rong Zhou, David Mankoff. Kinetic Analysis of [5-11C] glutamine PET tracer data in breast cancer: Preclinical studies in mouse models [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-15-11.

Albumin-Binding Lutetium-177-Labeled LLP2A Derivatives as Theranostics for Melanoma.

Very late antigen-4 (VLA-4) is a transmembrane integrin protein that is highly expressed in aggressive forms of metastatic melanoma. A small-molecule peptidomimetic, LLP2A, was found to have a low pM affinity binding to VLA-4. Because LLP2A itself does not inhibit cancer cell proliferation and survival, it is an ideal candidate for the imaging and delivery of therapeutic payloads. An analog of [177Lu]Lu-labeled-LLP2A was previously investigated as a therapeutic agent in melanoma tumor-bearing mice, resulting in only a modest improvement in tumor growth inhibition, likely due to rapid clearance of the agent from the tumor. To improve the pharmacokinetic profile, DOTAGA-PEG4-LLP2A with a 4-(p-iodophenyl)butyric acid (pIBA) albumin binding moiety was synthesized. We demonstrate the feasibility of this albumin binding strategy by comparing in vitro cell binding assays and in vivo biodistribution performance of [177Lu]Lu-DOTAGA-PEG4-LLP2A ([177Lu]Lu-1) to the albumin binding [177Lu]Lu-DOTAGA-pIBA-PEG4-LLP2A ([177Lu]Lu-2). In vitro cell binding assay results for [177Lu]Lu-1 and [177Lu]Lu-2 showed Kd values of 0.40 ± 0.07 and 1.75 ± 0.40 nM, with similar Bmax values of 200 ± 6 and 315 ± 15 fmol/mg, respectively. In vivo biodistribution data for both tracers exhibited specific uptake in the tumor, spleen, thymus, and bone due to endogenous expression of VLA-4. Compound [177Lu]Lu-2 exhibited a much longer blood circulation time compared to [177Lu]Lu-1. The tumor uptake for [177Lu]Lu-1 was highest at 1 h (∼15%ID/g) and that for [177Lu]Lu-2 was highest at 4 h (∼23%ID/g). Significant clearance of [177Lu]Lu-1 from the tumor occurs at 24 h (<5%ID/g) while[177Lu]Lu-2 is retained for greater than 96 h (∼10%ID/g). An efficacy study showed that melanoma tumor-bearing mice receiving compound [177Lu]Lu-2 given in two fractions (2 × 14.8 MBq, 14 days apart) had a greater median survival time than mice administered a single 29.6 MBq dose of compound [177Lu]Lu-1, while a single 29.6 MBq dose of [177Lu]Lu-2 imparted hematopoietic toxicity. The in vitro and in vivo data show addition of pIBA to [177Lu]Lu-DOTAGA-PEG4-LLP2A slows blood clearance for a higher tumor uptake, and there is potential of [177Lu]Lu-2 as a theranostic in fractionated administered doses.

DIMet: an open-source tool for differential analysis of targeted isotope-labeled metabolomics data.

Many diseases, such as cancer, are characterized by an alteration of cellular metabolism allowing cells to adapt to changes in the microenvironment. Stable isotope-resolved metabolomics (SIRM) and downstream data analyses are widely used techniques for unraveling cells' metabolic activity to understand the altered functioning of metabolic pathways in the diseased state. While a number of bioinformatic solutions exist for the differential analysis of SIRM data, there is currently no available resource providing a comprehensive toolbox. In this work, we present DIMet, a one-stop comprehensive tool for differential analysis of targeted tracer data. DIMet accepts metabolite total abundances, isotopologue contributions, and isotopic mean enrichment, and supports differential comparison (pairwise and multi-group), time-series analyses, and labeling profile comparison. Moreover, it integrates transcriptomics and targeted metabolomics data through network-based metabolograms. We illustrate the use of DIMet in real SIRM datasets obtained from Glioblastoma P3 cell-line samples. DIMet is open-source, and is readily available for routine downstream analysis of isotope-labeled targeted metabolomics data, as it can be used both in the command line interface or as a complete toolkit in the public Galaxy Europe and Workfow4Metabolomics web platforms. DIMet is freely available at https://github.com/cbib/DIMet, and through https://usegalaxy.eu and https://workflow4metabolomics.usegalaxy.fr. All the datasets are available at Zenodo https://zenodo.org/records/10925786.

Statistical data treatment for residence time distribution studies in pharmaceutical manufacturing

Residence time distribution (RTD) method has been widely used in the pharmaceutical manufacturing for understanding powder dynamics within unit operations and continuous integrated manufacturing lines. The dynamics thus captured is then used to develop predictive models for unit operations and important RTD-based applications ensuring product quality assurance. Despite thorough efforts in tracer selection, data acquisition, and calibration model development to obtain tracer concentration profiles for RTD studies, there can exist significant noise in these profiles. This noise can make it challenging to identify the underlying signal and get a representative RTD of the system under study. Such concerns have previously indicated the importance of noise handling for RTD measurements in literature. However, the literature does not provide sufficient information on noise handling or data treatment strategies for RTD studies. To this end, we investigate the impact of varying levels of noise using different tracers on measurement of RTD profile and its applications. We quantify the impact of different denoising methods (time and frequency averaging methods). Through this investigation, we see that Savitsky Golay filtering turns out to a good method for denoising RTD profiles despite varying noise levels. The investigation is performed such that the key features of the RTD profile (which are important for RTD based applications) are preserved. Subsequently, we also investigate the impact of denoising on RTD-based applications such as out-of-specification (OOS) analysis and RTD modeling. The results show that the degree of noise levels considered in this work do not significantly impact the RTD-based applications.

Hydroclimatic non-stationarity drives stream hydrochemistry dynamics through controls on catchment connectivity and water ages

We used data from 17 years of routine stream flow sampling to characterise hydrochemical dynamics in the Girnock Burn, an internationally important long-term catchment monitoring site. We combined hydrochemical time series analysis with hydrological modelling to understand short- and long-term dynamics in relation to dominant runoff processes. Isotopic tracer data employed within the model enabled flux tracking of water as it transited the catchment, facilitating water age estimates. The stream drains an upland 31 km2 catchment with complex topography and variable geology, which influences soil distributions; peaty soils dominate valley bottoms which receive drainage from more permeable podzolic soils on steeper slopes. Short-term hydrochemical dynamics largely reflect the relative dominance of hydrological sources: summer low flows are dominated by alkaline groundwater high in weathering products (Ca2+, Mg2+, SiO2) whilst high flows generated by overland flow from peaty soils are more acidic, DOC enriched, and dominated by atmospheric solutes (Na+, Cl-, SO42-). Baseflows are dominated by older groundwater (>∼3years) in contrast to storm runoff dominated by younger (<∼0.5 years), near-surface, waters. Usual seasonal distributions of stream flows, with high flows in winter and summer low flows, result in strong seasonality in most solutes. However, coupled effects of hydroclimatic variability and catchment heterogeneity dictates marked scatter in flow-concentration relationships for most determinands. A long-term decreasing trend was evident for SO42-concentrations, reflecting continuing effects of reductions in atmospheric deposition of pollutants from coal burning. Reductions in large storm event frequency post-2016 and protracted periods of low flows in the droughts of 2018 and 2022 have resulted in the catchment becoming dominated by low flows, derived from older groundwater with more alkaline chemistry for longer periods. Changing climatic conditions and stream flow responses seem likely to continue to cause changes in stream water quality and associated ecosystem services of the Girnock Burn and similar upland catchments.

Contemporary and relic waters strongly decoupled in arid alpine environments

Deciphering the dominant controls on the connections between groundwater, surface water, and climate is critical to understanding water cycles in arid environments. Yet, persistent uncertainties in the fundamental hydrology of these systems remain. The growing demand for critical minerals such as lithium and associated water demands in the arid environments in which they often occur has amplified the urgency to address these uncertainties. We present an integrated hydrological analysis of the Dry Andes region utilizing a uniquely comprehensive set of tracer data (3H, 18O/2H) for these environments, paired directly with physical hydrological observations. We find two strongly decoupled hydrological systems that interact only under specific hydrogeological conditions where preferential conduits exist. The primary conditions creating these conduits are laterally extensive fine-grained evaporite and/or lacustrine units and perennial flowing streams connected with regional groundwater discharge sites. The efficient capture and transport of modern or “contemporary” water (weeks to years old) within these conduits is the primary control of the interplay between modern hydroclimate variations and groundwater aquifers in these environments. Modern waters account for a small portion of basin budgets but are critical to sustaining surface waters due to the existence of these conduits. As a result, surface waters near basin floors are disproportionally sensitive to short-term climate and anthropogenic perturbations. The framework we present describes a new understanding of the dominant controls on natural water cycles intrinsic to these arid high-elevation systems that will improve our ability to manage critical water resources.

Basin‐scale responses of groundwater‐resource quality to drought and recovery, San Joaquin Valley, California

AbstractGroundwater‐resource quality is assumed to be less responsive to drought compared to that of surface water due to relatively long transit times of recharge to drinking‐supply wells. Here, we evidence dynamic perturbations in aquifer pressure dynamics during drought and subsequent recovery periods cause dramatic shifts in groundwater quality on a basin scale. We used a novel application of time‐series clustering on annual nitrate anomalies at &gt;450 public‐supply wells (PSWs) across California's San Joaquin Valley during 2000–22 to group sub‐populations of wells with similar water‐quality responses to drought. Additionally, we statistically evaluated the direction and magnitude of multi‐constituent water‐quality changes across the San Joaquin Valley using a broader dataset of &gt;3000 PSWs with data during two select hydrologic stress periods representing an extreme drought (2012–16) and subsequent recovery (2016–19). Results of time‐series clustering and stress‐period change analyses corroborate a predominant regional response to pumping stress characterized by increased concentrations of anthropogenic constituents (nitrate, total dissolved solids) and decreased concentrations of geogenic constituents (arsenic, fluoride), which largely reversed during recovery. Cluster analysis also identified a secondary, less commonly occurring group of PSWs where nitrate decreased during drought, but explanatory factor analysis was not able to discern hydrogeologic drivers for these two divergent response patterns. Long‐term tracer data support the hypothesis that the predominant regional signal of nitrate increase during drought is caused by enhanced capture of modern‐aged groundwater by PSWs during periods of pumping stress, which can drive rapid changes in water quality on seasonal and multiannual timescales. Pumping‐induced migration of modern, oxic groundwater to depth during drought may affect geochemical conditions in deeper portions of regional aquifers controlling the mobility of geogenic contaminants over the long term.

Near-Real-Time Tracer Data Optimizes Well Cleanups in the Nova Field

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 214351, “Near-Real-Time Tracer Data From the Onsite Tracer Analysis in the Nova Field,” by Alireza Roostaei, SPE, Ehsan Nikjoo, SPE, and Ali Nadali, SPE, Resman, et al. The paper has not been peer reviewed. _ This paper describes how near-real-time tracer data from an onsite tracer analysis enabled the operator to interactively optimize two well cleanups in the Nova field. The tracers provided key information on the cleanup progress in different zones, which enabled the operator to make informed and fast decisions to maximize well-cleanup efficiency while minimizing rig time and cost. Introduction The Nova field is in the northeastern North Sea. Reservoir sands are at depths of 2500–2800 m, with a pressure of approximately 290 bar and temperatures up to 110°C. The field will be operated with six wells—three oil producers and three water injectors—with an injector/producer pair in each of the main fault compartments. The authors, in the complete paper, show the value of inflow tracer data during the cleanup phase of two producers (X-3H and X-4 AHT2) in the field. Well-Cleanup Challenges and Monitoring Requirements The main challenge is to ensure that the well is sufficiently cleaned up at the zonal level while rig time and cost is minimized. Therefore, a monitoring method is required that can provide real-time data of cleanup progress in different zones. The data enables the operator to make informed decisions while the cleanup is ongoing, allowing optimization of well cleanup when needed. The risk-free and cost-effective inflow tracers with onsite analysis provide near-real-time data on cleanup efficiency in different zones. Because the Nova wells are equipped with inflow tracers, the operator used this data to understand the wells’ behavior and make real-time decisions to increase cleanup efficiency and zonal productivity. Equipment and Processes Inflow tracers are integrated in polymer rods that are stable in a wide range of well conditions. These inflow (in-well) tracers have been tested and designed in different hydrocarbon fluids and a broad temperature range (20–200°C). In the Nova field, unique oil and water tracers were deployed in the lower completion. These intelligent tracers remain dormant until they come in contact with their target fluids. Oil-based mud (OBM) was used as a lower completion fluid in the Nova oil wells; thus, the release of oil tracers began with contact with OBM. The polymer tracer rods are installed in the completion before running in hole; therefore, no downhole intervention is required. Each unique oil-tracer system consists of several polymer rods distributed evenly around the pipe in a carrier. The venting configuration of these systems is shown in Fig. 1. Once the tracers are released from the polymer rods, they will travel to surface with the fluid flow. At surface, samples are taken with different sampling frequencies depending on the monitoring objectives. The samples then are analyzed in a laboratory to identify and quantify tracers. The samples can be analyzed onsite or offsite.