OG Technologies (United States)

Accurate determination of free chlorine is essential for maintaining effective disinfection in drinking-water treatment and distribution systems. Conventional colorimetric methods, particularly endpoint absorbance methods such as the DPD assay, can be constrained in automated analyzers by matrix-dependent optical interference, reagent stability limitations, and relatively slow endpoint measurement cycles. Here, we report a reaction-kinetic method for online free chlorine determination based on time-resolved optical detection of chlorine-driven oxidation of a stabilized TMB-derived chromogenic reagent in a low-water solvent matrix. Instead of relying on endpoint absorbance, chlorine concentration was quantified from the initial reaction rate (dA/dt) extracted from the early absorbance-time profile. The method showed a linear response over 0.01-10 mg/L free chlorine, with a limit of detection of 0.005 mg/L and a repeatability of 2.3% RSD (n = 6). Comparison with a standard DPD method across 45 drinking-water and treated process-water samples showed strong agreement (y = 0.99x + 0.02, R² = 0.996). The reagent maintained analytical sensitivity within ±10% over 24 months under ambient storage and enabled stable operation during 30 days of continuous field deployment in a municipal drinking-water treatment facility. These results demonstrate that reaction-kinetic chromogenic detection is a practical analytical strategy for automated free chlorine determination and that stabilized TMBderived reagent chemistry can support reliable online operation under representative treated-water conditions.

Ship positional data are widely used for route inference, yet most existing studies rely on automatic identification system data, which contain irregular transmission intervals and limit the ability to capture vessel-specific operational habits and subtle route choices. This study addresses these limitations by proposing a methodology to infer customary routes using periodic 3 s ship position data collected through the Korean e-Navigation system based on long-term evolution maritime communication. The method comprises three main steps: constructing a sea-area grid with an associated weight map, determining data-driven importance and updating weights, and performing pathfinding. Domestic waters are divided into 100 m grids, and navigable and non-navigable areas are binarized to establish a framework for route exploration. Ship positional data are processed to extract inter-port trajectories, which are then classified by ship size and tidal time zone to account for navigational differences arising from vessel characteristics and tide-dependent accessibility. These trajectories are combined with spatial grids and transformed into a document–word structure, enabling the calculation of movement importance between grid cells using a modified term frequency–inverse document frequency measure. The resulting weights are applied to a pathfinding graph to derive routes that reflect vessel size and tidal conditions. The effectiveness of the proposed method is evaluated by computing cosine similarity between the inferred routes and actual trajectories.

The French Optical Ground Station (FrOGS) [1] is developed, by a consortium of industries: Safran Data System, OGS Technologies, Bertin ALPAO, and Airbus Defence and Space, with the support of CNES.The article presents the final bi-static architecture of the station, composed of a focal plane assembly dedicated to reception (Rx FPA), at the Cassegrain focus of the received Optical Tube Assembly (Rx OTA) and the Tx/Rx FPA at the coudé focus of the Tx OTA. Each focal plan assembly is equipped with an Adaptive Optics system. FrOGS architecture is designed to be modular and scalable, in order to cope with various orbits and laser applications. The station is currently used for two Airbus/CNES demonstrations: bi-directional communications to a GEO optical terminal (the TELEO demonstration [2]) and LEO direct to earth data repatriation of Earth Observation satellites (the LASIN demonstration [3]).FrOGS started free space optical links with TELEO in 2024, a mono-static architecture was used, emission and reception being done using a single adaptive optics bench. The new Rx OA FPA at the Cassegrain focus was qualified in July 2025 on a horizontal link and first results were obtained with TELEO in the bi-static configuration.After the launch of CO3D constellation in July 2025, LASIN demonstrator enters in its qualification phase with FrOGS.FrOGS, as an OGS demonstrator, is a powerful tool to assess the performance of various optical architectures for GEO and LEO optical links, which allows to point to optimal configurations for future operational OGS..

Abstract INTRODUCTION: Despite the development and validation of multimarker gene panels like OncotypeDx®, Mammaprint® and EndoPredict®, an affordable and globally accessible biomarker approach that can predict increased risk of all-cause mortality in patients diagnosed with ER+LN- breast cancer, as well as the efficacy of adjuvant endocrine + chemotherapy in mitigating such elevated risk, continues to be an unmet medical need. Lack of such a pragmatic solution continues to be the cause of preventable recurrent/metastatic disease in patients diagnosed with ER+LN- breast cancer in resource-challenged settings around the world. We hypothesized that a predictive biomarker strategy that measures expression of the plasticity marker FOXC1, in combination with clinical parameters like tumor size (TS) and tumor grade (TG), may offer equivalent results to that of the above multimarker gene panels at a significantly lower economic cost without compromising accuracy of prediction results. METHODS: Pre-treatment tumor RNA data obtained from a training cohort (compendium of gene expression microarray datasets, n=2857) and a single large validation cohort (SCAN-B Prospective Multicenter Observational Study, n=3520) for patients diagnosed with ER+LN- breast cancer were analyzed for FOXC1 expression, tumor size (TS) and tumor grade (TG) and correlated with Recurrence-Free Survival (RFS) and Overall Survival (OS). Optimized biomarker cutoff values based on model area-under-curve were leave-one-out cross validated and Risk-of-Recurrence (ROR) prediction algorithm derived utilizing the (compendium) training dataset. The unmodified strategy was then validated in the independent (SCAN-B) validation dataset. RESULTS: A predetermined High ROR score calculated using FOXC1 expression, TS and TG (trained using the compendium dataset) predicted efficacy of adjuvant endocrine + chemotherapy over that of adjuvant endocrine therapy alone in ER+LN- patients in terms of statistically significant reduction in all-cause mortality at 8-years post-diagnosis in the SCAN-B validation dataset (4.66% vs 24.06%, n=326, OR=6.48, 95%CI [2.97-14.11], p< 0.0001). OncotypeDx® (5.7% vs 14.4%, n=762, OR=2.79, 95%CI [1.37-5.67], p=0.002), Mammaprint® (5.1% vs 18.4%, n=665, OR= 95%CI [2.04-8.43], p< 0.0001) and Endopredict® (4.8% vs 15.2%, n=923, OR=3.58 95%CI [1.78-7.21], p=0.0002) were also statistically significant predictors of the same. CONCLUSION: Pre-treatment tumor FOXC1 mRNA or protein expression (assessed using qRT-PCR or routine immunohistochemistry (IHC), respectively, when combined with TS and TG presents a unique and economical alternative solution to multimarker gene panel tests like OncotypeDx®, Mammaprint® or Endopredict®, for guiding therapy of patients diagnosed with ER+LN- breast cancer in resource challenged settings. Such an approach to identify elevated risk of recurrence in patients diagnosed with ER+LN- breast cancer and prevent the same by guiding adjuvant endocrine + chemotherapy decisions, could help to extend recurrence-free and overall survival. Such an approach merits testing in real world ER+LN- patient cohorts in resource-challenged settings to help support implementation of this FOXC1-driven predictive biomarker strategy in the clinic. Citation Format: Partha Ray, Tania Ray, Clive Taylor, Robert Hussa. Plasticity marker FOXC1 expression accurately predicts efficacy of Adjuvant Tamoxifen + Chemotherapy in reducing all-cause mortality in ER+LN- Breast Cancer: Validation in the SCAN-B Prospective Study (NCT02306096) [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 PO5-15-10.

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framework for classifying defects from high volume data batches with efficient inspection of unlabeled samples. The concept is to construct a detector to identify new defect types, send them to the inspection station for labeling, and dynamically update the classifier in an efficient manner that reduces both storage and computational needs imposed by data samples of previously observed batches. Both a simulation study on image classification and a case study on surface defect detection via 3D point clouds are performed to demonstrate the effectiveness of the proposed method.

Current electrophysiology signal recording and mapping systems have limited dynamic range (DR) and bandwidth, which causes loss of valuable information during acquisition of cardiac signals. We evaluated a novel advanced signal processing platform with the objective to obtain and assess additional information of clinical importance. Over 10 canines, we compared intracardiac recordings within all cardiac chambers, in various rhythms, in pacing and during radiofrequency (RF) ablation across two platforms; a conventional system and the PURE EP™ [(PEP); Bio Sig Technologies, Inc., Los Angeles, CA, USA]. Recording cardiac signals with varying amplitudes were consistently and reproducibly observed, without loss of detail or introduction of artefact. Further the amplitude of current of injury (COI) on the unipolar signals correlated with the instantaneous contact force (CF) recorded on the sensing catheter in all the animals (r2 = 0.94 in ventricle). The maximum change in the unipolar COI correlated with the change in local electrogram amplitude during non-irrigated RF ablation (r2 = 0.61 in atrium). Reduction in artefact attributable to pacing (20 sites) and noise during ablation (48 sites) was present on the PEP system. Within the PEP system, simultaneous display of identical signals, filtered differently, aided the visualization of discrete conduction tissue signals. Compared to current system, the PEP system provided incremental information including identifying conduction tissue signals, estimates of CF and a surrogate for lesion formation. This novel signal processing platform with increased DR and minimal front-end filtering may be useful in clinical practice.

This paper presents an overview of the tailings disposal methodology and tailings retention dike design used at Nanisivik Mine, situated near the northern end of Baffin Island. Due to the extraction of potable water from one of the lakes adjacent to the tailings disposal area, the tailings disposal area was divided into an upper Surface Cell for solids retention and a lower Reservoir for the storage of supernatant water. A frozen-shale, upstream-constructed dike is used to retain the solids and to separate the Surface Cell from the Reservoir. The paper reviews the construction methodology used for this novel retention dike and the dike performance to-date. It also reviews a seepage event that occurred in 1999 and the lessons learned from that event.

Abstract Background：Although advanced non-squamous non-small cell lung cancer (NSCLC) patients have significantly better survival outcome on pemetrexed based treatment, a subset of patients still show intrinsic resistance and progress rapidly. Therefore we aim to use a blood-based protein signature (VeriStrat, VS) to analyze whether VS could identify the subset of patients who had poor efficacy on pemetrexed therapy. Methods：This study retrospectively analyzed 72 advanced lung adenocarcinoma patients who received first-line pemetrexed/platinum or combined with bevacizumab treatment. Results：Plasma samples from these patients were analyzed using VS and classified as Good (VS-G) or Poor (VS-P) group. The relationship between efficacy and VS status was further investigated. Of 72 patients included in this study, 35 (48.6%) were treated with pemetrexed plus platnum and 37 (51.4%) were treated with pemetrexed/platinum combined with bevacuzumab. Among all patients, 60 (83.3%) and 12 (16.7%) patients were classified as VS-G and VS-P, respectively. VS-G patients had significantly better median PFS (Unreached vs. 4.2 months; P＜0.001) than VS-P patients. Besides, partial response (PR) rate was higher in VS-G than that in VS-P group (46.7% vs 25.0%, P=0.212). Subgroup analysis showed that PFS was also significantly longer in the VS-G than that in VS-P group no matter for patients received chemotherapy alone or chemotherapy plus bevacizumab.Conclusions：Our study indicates that VS could be considered as a novel and valid method to predicit efficacy of pemetrexed based therapy and identify a subset of advanced lung adenocarcinoma patients who have intrinsic resistance to pemetrexed based regimen.

Abstract Drilling automation is gaining momentum as seen by the increasing participation at workshops. Most of the early efforts of drilling automation have focused on incorporating specialized algorithms by both oil companies and service companies that try to improve the drilling performance. As drilling automation efforts try to scale to all rig types and all drilling operations there will be an increasing need to integrate and connect equipment from different vendors with different control systems to create complete automated work flow. Implementing drilling automation on existing rigs requires integration of equipment owned by the drilling contractor, service company and even the operator. This paper will investigate different architectures that have been successfully used in other domains to solve this key technology challenge to support Automation on a drilling rig. Cloud computing has been used as a way to provision services on demand. There are several public cloud services that are available via the internet. The focus of this paper will be the implementation of a community cloud infrastructure that can be implemented on a drilling rig, provisioning various services key to the successful implementation of drilling automation.

This paper focuses on surface quality improvement in hot rolling processes. A systematic method based on functional data analysis is developed to identify the key influential process variables. It provides guidelines for hot rolling process control and can also be expanded to generic scenarios of functional variable selection.