GPR177 Blocking Peptide
- Known as:
- GPR177 Blocking Peptide
- Catalog number:
- 33r-2005
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- GPR177 Blocking Peptide
Related genes to: GPR177 Blocking Peptide
- Gene:
- WLS NIH gene
- Name:
- Wnt ligand secretion mediator
- Previous symbol:
- C1orf139, GPR177
- Synonyms:
- FLJ23091, MRP, wls, EVI, mig-14
- Chromosome:
- 1p31.3
- Locus Type:
- gene with protein product
- Date approved:
- 2005-07-08
- Date modifiied:
- 2018-11-09
Related products to: GPR177 Blocking Peptide
Related articles to: GPR177 Blocking Peptide
- Pharmaceuticals and pesticides are key contaminants of emerging concern (CECs) that threaten aquatic ecosystems due to their high mobility and persistence. Accurate environmental monitoring requires robust analytical strategies supported by rigorous statistical validation. This study presents a novel analytical-statistical framework for CEC quantification, evaluating different linear model fitting, matrix effects, and calibration methodologies: post-sample treatment standard addition (ESAC) and ESAC with internal standards (ISC). Our findings demonstrate that weighted least squares (WLS) regression provided the most accurate model fitting. The ISC methodology, combined with WLS, outperformed other approaches in linearity and validation parameters, effectively minimizing matrix interference. This validated framework was subsequently applied to surface water and biota samples. Surface water analysis revealed significant anthropogenic pressure linked to tourism and maritime activities. In certain areas the level of pharmaceuticals was lower (8.4 μg kg), in contrast to pesticides (6.2 μg kg). Among biota, crabs exhibited the highest bioaccumulation (334 μg kg), followed by adult mussels (247 μg kg); notably, no direct correlation with trophic levels was observed. These results confirm that the proposed ISC-WLS approach provides a reliable and high-precision tool for the environmental assessment of CECs in complex matrices. - Source: PubMed
Publication date: 2026/05/06
Díaz-Montaña Enrique JDominguez-Gil SofíaHinojosa María GAparcio-Ruiz RamónMorales María T - Unlike terrestrial environments, the inhomogeneity distribution of underwater sound speed poses significant challenges for underwater ranging and target localization. In the presence of sound ray bending and sensor node position errors in underwater acoustic sensor networks (UASNs), this paper proposes a joint TOA-AOA deep-sea target localization framework based on sound ray bending correction. From the perspective of information theory and time series analysis, the TOA measurements are time series signals carrying target position information, and the entropy-based analysis quantifies the fundamental limit on localization uncertainty. First, based on the TOA time series measurements and combined with the acoustic propagation characteristics of the deep sea, a sound ray bending correction method is adopted to improve the accuracy of slant range measurement. To enhance target localization accuracy, this paper proposes a two-step WLS closed-form solution based on TOA-AOA. To further reduce localization bias, a maximum likelihood estimation (MLE) method based on the Gauss-Newton is also derived. Subsequently, the paper derives and analyzes the Cramér-Rao lower bound (CRLB) for target localization, proving theoretically that jointly using TOA-AOA can improve localization accuracy. Simulations verify the performance of the proposed methods. The slant range estimation method based on sound ray bending correction effectively improves range measurement accuracy. The proposed closed-form solution enhances target localization accuracy, achieving the CRLB accuracy. The Gauss-Newton MLE solution can attain the CRLB accuracy under certain localization geometries and further reduces localization bias. - Source: PubMed
Publication date: 2026/03/25
Kang YuzhuShen XiaohongWang HaiyanYan YongshengJia Tianyi - We present a dual-purpose underwater white laser source (WLS) that simultaneously supports high-speed wireless optical communication and high-fidelity illumination. The WLS combines red, green, and blue laser diodes (RGB LDs) with a yellow diode-pumped solid-state laser (Y-DPSSL) through wavelength-division multiplexing (WDM). For a 2 m underwater wireless optical communication (UWOC) link, the RGB LDs modulated with 16-quadrature amplitude modulation discrete multitone (16-QAM DMT) achieve data rates of 4 Gbps, 6 Gbps and 6 Gbps, respectively. The corresponding bit error rates (BERs) of 3.66 × 10, 3.11 × 10 and 3.49 × 10 all fall below the forward error correction (FEC) threshold of 3.8 × 10, confirming the high speed of the communication system. When the Y-DPSSL is activated, its yellow-orange emission blends with the RGB light to produce high-fidelity white illumination, characterized by a correlated color temperature (CCT) of 6371 K, a color rendering index (CRI) of 79.5, Commission International de l'Eclairage (CIE) coordinates of (0.3963, 0.4499) and an illuminance of 7984 lux. A 24-color checker test yields a total color reproduction error of 13.36, further validating the WLS's illumination performance. These results demonstrate the WLS's capacity to deliver both underwater high-speed communication and high-fidelity illumination, highlighting its potential for integrated subsea applications. - Source: PubMed
Zhang ChenhuiZhang YaweiSun ChuanbinWan PengchengLin XingchenJiang YangFang XuanYu YongjiShi YiranLiu LiePu ShuangshuangGuo ShaofengWang LijunXiang MengZhu Hongbo - This paper introduces a new approach that effectively balances the trade-off between the strategic deployment of phasor measurement units (PMUs) with the accuracy of state estimation through a multi-objective paradigm. Utilities can achieve optimal grid visibility and reduce deployment costs by identifying the most critical PMU locations, which leads to the strategic PMU deployment (SDP) problem. The objective function includes SDP, state estimation error, and measurement redundancy. The multi-objective Brown Bear optimization is used to obtain SDP. The weighted least squares (WLS) technique is used for state estimation. The load flow analysis is performed using the Newton-Raphson method, and the state estimation error is obtained by finding the mean square difference between WLS without SDP data and WLS with SDP data. The proposed paradigm provides an improved balance between the SDP with maximum redundancy and the accuracy of state estimation. It is tested using the IEEE 30-bus and Polish 2383-bus systems. The performance metrics employed for evaluation include spread, spacing, and the hypervolume indicator. The results of the proposed paradigm derived from the application of multi-objective brown bear optimization are compared with those from other multi-objective algorithms, demonstrating that brown bear optimization produces better outcomes. The technique for order of preference by similarity to ideal solution multi-criteria decision ranking method is used to validate the performance of the proposed approach compared with other algorithms. The Wilcoxon signed-rank test is used to test the statistical superiority of MBOA compared with other algorithms. - Source: PubMed
Publication date: 2026/04/18
Anand KPrakash TapanLala Himadri - : The clinical utility of summarizing long-term C-reactive protein (CRP) trends with a single mean remains unclear. We systematically characterized annual changes in CRP test volume and CRP level distributions using large-scale laboratory data collected at Dankook University Hospital (2008-2023) across the coronavirus 2019 pandemic period. : Overall, 1,845,258 CRP values were analyzed; annual arithmetic, harmonic, and geometric means were calculated; long-term trends were assessed using weighted least squares (WLS) regression weighted by annual test volume; and temporal changes around the pandemic period were examined using a WLS-based interrupted time-series (ITS) segmented model with a prespecified 2020 break. : The annual test volume rose from 2008 to 2013 and 2019, dropped in 2020, increased in 2022, and declined in 2023. The arithmetic mean showed no long-term trend, whereas the harmonic and geometric means declined. ITS models exhibited no statistically significant immediate level-change term in 2020; however, post-2020 slope changes indicated a decline in the arithmetic mean and attenuation of the prior decline in the harmonic mean. As only four annual observations were available after 2020, these post-2020 trend estimates should be interpreted cautiously. : Within this single-center tertiary-care dataset, different CRP summary measures showed different long-term patterns and post-2020 trend changes, without evidence of an abrupt shift in 2020, suggesting stratum-specific shifts that may be invisible to arithmetic mean-based surveillance. These findings are best interpreted as institution-specific and hypothesis-generating, and broader interpretive or operational implications require validation in multicenter settings with differing case-mix and care structures. - Source: PubMed
Publication date: 2026/04/03
Han Jeong SuJung Bo KyeungJeon Jae-SikKim Jae Kyung