Analysis Of Cu Research Articles

Physicochemical Analysis of Cu(II)-Driven Electrochemical CO2 Reduction and its Competition with Proton Reduction.

The reduction of CO2 has become a key role in reducing greenhouse gas emissions in efforts to search for long-term responses to climate change. We report a a couple of CO2-reducing molecular catalysts based on earth-abundant copper complexes. These are [Cu(DPA)(PyNAP)] (1) and [Cu(DPA)(PyQl)] (2) (where, DPA = pyridine-2,6-dicarboxylic acid, PyNAP = 2-(pyridin-2-yl)-1,8-naphthyridine, and PyQl = 2-(pyridin-2-yl)quinoline). The copper metal-catalysed 2-electron reduction of CO2 to CO in the presence of 2-protons is challenging. These catalysts exhibit the production of CO gas in DMF/water mixtures, achieving an impressive faradaic efficiency of 84% and 72% for complex 1 and 2 at -1.7 V vs. SCE, respectively, for selective CO2 reduction. The production of H2 due to 2H+ + 2e- was also observed as a byproduct through the competitive proton reduction reaction. This was cross-verified by online gas and mass analysis.Our investigations confirmed the stability of the electrocatalysts under the electrocatalytic conditions. The mechanistic pathways were proposed to work with the EECC and ECEC (E: electrochemical and C: chemical) mechanisms. A CO2 insertion into an in-situ generated hydride from the Cu-center generates CO through the favourable path.

Assessing bioavailability risks of heavy metals in polymetallic mining regions: a comprehensive analysis of soils with varied land uses.

To accurately assess the bioavailability risk of heavy metals (HMs) in a representative polymetallic mining region, we undertook an exhaustive analysis of Cu, Pb, Ni, Co, Cd, Zn, Mn, and Cr in soils from diverse land-use types, encompassing agricultural, forest, residential, and mining areas. We employed speciation analysis methods and a modified risk assessment approach to ascertain potential ecological threats posed by the HMs. Our findings reveal that both the total potential ecological risk and the modified bioavailability risks are most pronounced in the soil of the mining area. The modified bioavailability threats are primarily caused by Pb, Ni, Cd, and Co. Although the total potential ecological risk of Cu is high in the local soil, the predominance of its stable forms reduces its mobility, thereby mitigating its detrimental impact on the ecosystem. Additionally, medium modified bioavailability risks were identified in the peripheries of agricultural and forest areas, potentially attributable to geological processes and agricultural activities. Within the urban district, medium risks were observed in residential and mining areas, likely resulting from mining, metallurgy, industrial operations, and traffic-related activities. This study provides critical insights that can assist governmental authorities in devising targeted policies to alleviate health hazards associated with soils in polymetallic mining regions.

PSIX-26 Effectiveness of mineral supplementation during range grazing on mineral status in ewes

Abstract Mineral supplementation in the intermountain west region of the US may be necessary for maintenance of healthy flocks since important trace minerals are deficient in this region. However, rough terrain can make mineral supplementation challenging. The objective of this study was to evaluate the trace mineral status of ewes on range. We hypothesized that ewes with access to a mineral supplement would have decreased risk of mineral deficiency. In this study, ewes (n = 59) grazed four summer pastures on Cedar Mountain near Cedar City, Utah. Ewes between the ages of 1 and 6 yr of age were stratified by initial body weight (BW) = 87 kg ± 13 kg and breed [black face (BLF; Suffolk) and white face breeds (WF; Targhee, Rambouillet, and their crosses)] into two treatment groups 1) trace mineral supplement ad libitum (TRT; n = 7 BLF and 23 WF) or 2) no mineral supplement (CON; n = 15 BLF and 14 WF). All ewes received a diet of mixed alfalfa and triticale hay without mineral supplementation 30 d before the trial began. A SmartFeed (C-lock Inc.) was used to track individual animal mineral intake. Plasma samples were collected via jugular venipuncture at d 0, 34, 77, and 116. A clinical veterinarian from Utah State University performed liver biopsies at d 0 and 116 on a subset of ewes (n = 10). After the grazing season, plasma and liver samples were sent to the Iowa State University Veterinary Diagnostic Laboratory for analysis of Cu, Mn, Se, and Zn. The mixed procedure of SAS was used to analyze plasma mineral content with day as a repeated measure and individual ID as a random variable. The Glimmix procedure of SAS was used to analyze liver mineral content. Plasma Cu and Se increased (P ≤ 0.05) by day in all ewes throughout the grazing season. No differences related to treatment or breed (P > 0.10) were observed for plasma Cu or Se concentrations. Plasma Mn and Zn decreased (P < 0.0001) by 1.5 ppb and 0.4 ppm, respectively, between d 0 and 116 with no treatment effect (P > 0.10). BLF ewes had 0.3 ppm (P = 0.01) greater plasma Mn concentrations than WF ewes, with no difference (P = 0.6) observed due to treatment. Hepatic Cu and Se increased (P ≤ 0.05) by 114 ppm and 1 ppm, respectively, between d 0 and 116. Hepatic Mn concentrations did not differ (P > 0.10) by day or treatment. Hepatic Zn concentrations tended to increase by day (P = 0.07), 23 ppm between d 0 and 116. CON ewes had 28 ppm greater (P = 0.04) hepatic Zn concentrations than TRT ewes. Additional research is warranted to understand why CON had greater hepatic Zn concentrations than TRT, which may indicate that diverse rangeland forages may provide sufficient concentrations for sheep production in summer months.

Novel highly selective quinoline-based fluorescent chemosensors for quantitative analysis of Cu(II) ion in water and food

While copper (Cu2+) is a vital cofactor in numerous enzymatic processes, its homeostasis is critical. Selective sensors for Cu2+ in food matrices are paramount for ensuring adherence to safety regulations and dietary interaction studies. In this work, novel derivatives of 8-aminoquinoline (L1-L4) with extended π-conjugation and various N-substituents were synthesized and evaluated as fluorescent sensors for Cu2+. The 2-pyridinecarbonyl-substituted derivative L3 exhibited sharp fluorescence quenching selectively in the presence of Cu2+. This compound presents high selectivity for Cu2+ even in the presence of other metal ions. The L3-based fluorescent sensor provides a Cu2+ detection limit of 77 nM, surpassing many existing sensors. The quantifications of Cu2+ in water, food supplements, and wines using this sensor have demonstrated good agreement with those obtained using the standard ICP technique. Notably, L3 also facilitates Cu2+ detection in microliter sample volumes at subnanomole levels using paper-based sensors, opening doors for portable and cost-effective on-site testing.

Characteristics of copper-containing cobalt chromium particles: Metal ion release, passive behavior, and biological response

Wear particle-induced periprosthetic osteolysis, leading to aseptic loosening, is the primary cause of total joint arthroplasty failure. Our study aimed to design Cu-containing Co29Cr9W particles (Co29Cr9W3Cu) to investigate the potential release of Cu ions from these particles in mitigating osteoclast over-activation. Analysis of Cu, Co, and Cr ion release from Co29Cr9W3Cu particles in simulated body fluid showed that Cu addition did not significantly increase metal ion release. In vitro tests confirmed the non-toxicity of Cu-containing particles to osteoblast cells, indicating minimal impact on Co, Cr, and W ion release with 3 wt% Cu addition. Importantly, Cu-containing Co29Cr9W particles demonstrated the ability to reduce osteoclast expression, potentially via inhibition of NF-κB signaling pathway. Alloying 3 wt% Cu into Co29Cr9W particle presents a promising strategy for mitigating osteoclast over-activation in wear particle-induced osteolysis.

Dual Mode Ratiometric Analysis of Cu2+ and Ni2+ Ions at Physiological pH: Effect of Signalling Units on Analytical Efficacy

AbstractHerein, we report the metal ion sensing property of two 2,2’‐bis (pyridylmethyl) amine‐based chromogenic probes at physiological pH in buffered media. The binding of metal ions to the bispicolyl site alters its electronic property, which subsequently influences the optical property of the covalently‐linked signaling unit. The compound experienced a change in the solution color from red to deep and light yellow respectively upon the addition of Cu2+ and Ni2+ ions. Further, it is observed that by modifying the signaling unit, one can tune the mode of metal ion binding and sensitivity. The compound with an electron‐deficient quinolinium unit as the signaling moiety, showed 2 : 1 stoichiometry of binding with metal ions, while the compound functionalized with a pyrene unit formed complexes with 1 : 1 stoichiometry. It was conferred that changes in the signaling moiety not only alter the basicity/nucleophilicity of the pyridine nitrogen ends but also influence their aggregation properties. Such kind of studies will be beneficial for engineering new optical probes with tuneable sensitivity.

Predictive Modeling and Analysis of Cu–Be Alloys: Insights into Material Properties and Performance

Cu–Be alloys are renowned for their exceptional mechanical and electrical properties, making them highly sought after for various industrial applications. This study presents a comprehensive approach to predicting the compositions of various types of Cu–Be alloys, integrating a Random Forest Regressor within a machine learning (ML) framework to analyze an extensive dataset of chemical and thermo-mechanical parameters. The research process incorporated data preprocessing, model training and validation, and robust analysis to discern feature significance. Cluster analysis was also conducted to illuminate the data’s intrinsic groupings and to identify underlying metallurgical patterns. The model’s predictive power was confirmed by high R2 values, indicative of its capability to capture and explain the variance in the dataset for both testing (R2 = 0.99375) and training (R2 = 0.99858). Distinct groupings within the alloy data were uncovered, revealing significant correlations between composition, processing conditions, and alloy properties. The findings underscore the potential of ML techniques in advancing the material design and optimization of Cu–Be alloys, providing valuable insights for the field of material science.

Compositional balance analysis for Cu–Zn(±Co) geochemical anomaly mapping in Trøndelag county, Norway

Trøndelag county has been recently the focus of a new mineral exploration wave given its well-known base metal mineralization potential associated with the occurrence of volcanogenic Cu–Zn (±Co ± Ag ± Au) massive sulfide deposits (VMS). This study evaluates a regional low-density soil sampling survey by implementing principal component analysis (PCA), and compositional balance analysis (CoBA) to target prospective areas for base metal mineralization. Principal component analysis indicates a dominant base metal mineralization signature characterized by a correlation between As and Cu–Cr–Co–Ni, which is consistent with the occurrences of mafic metavolcanic and associated low K–Ca metasedimentary rocks. However, several other Cu–Zn occurrences hosted in K- and/or Ca-rich (meta-)sedimentary (e.g., Røros districts) and felsic (meta-)igneous lithologies have been overlooked by this approach. Data- and knowledge-driven balances (i.e., isometric log-ratios) were then constructed to enhance these “weaker” Cu–Zn (±Co) mineralization fingerprints. Most of the data-driven balances (dcobals) are shown to be very noisy, and less useful for base metal geochemical anomaly mapping compared to their more coherent knowledge-driven counterparts (kcobals). However, the kcobals (e.g., for Cu, Zn and Co) highlight relatively large anomalous areas, which makes them less practical if used as individual exploration vectors. To further define zones of economic interest, common anomalous areas (defined as kcobal >75th percentile) have been filtered out from selected kcobal pairs. This has resulted in the identification of several prospective areas that correspond with 15%–20% of the Trøndelag county.This study not only explores the combined use of CoBA and PCA for detecting base metal anomalies, but also elaborates on some factors that can affect the interpretation and performance of multivariate approaches (e.g., mineralization/alteration extension versus survey resolution, geological framework, and deposit type). The visualization and implementation of CoBA presented in this paper aim to improve geoscientists’ understanding of the reach and limitations of using isometric log-ratios for mineral exploration studies.

Optimized deep learning regression assisted wear rate analysis of Cu–AlCoCrCuFe HEA composite

At present, composites have brought materials to a new era with superior characteristics. The proper selection of materials with optimal processing conditions is one of the prime factors in determining the efficiency of composites. This article introduces a new composite by fabricating a copper matrix with reinforced AlCoCrCuFe High Entropy Alloy (HEA). The ultimate theme of this research is to forecast the wear rate of the Cu–AlCoCrCuFe HEA composite. Using the pin on the disk, the wear test is carried out on varying combinations of parameters. Then Taguchi analysis is carried out to get the precise fit parameters. The wear rate mainly depends on the percentage of HEA, sliding distance, sliding velocity, and the load applied. Correlation analysis is performed to determine the exact parameter determining the optimal wear rate and the coefficient of friction. After feature extraction, the parameters are optimized, and the neural network regression is given the optimized parameters. The network has been trained, and predictions are made using it. The model successfully predicts the wear rate, as evidenced by the declining RMSE of 0.28 and rising R2 values up to 92%. The analysis shows a significant decline in the wear rate with HEA additions. In addition, the wear rate increases with a rise in load, sliding velocity, and sliding distance.

Duality in Political Discourse: A Critical Analysis of the Constitutional Union Party in Morocco

This article critically examines the discourse of the Constitutional Union party (CU) in Morocco, focusing on uncovering discursive duality within its political communication. Drawing on Critical Discourse Studies, the study adopts Van Dijk’s (2008) mental model approach to illuminate the party’s ideological perspectives and evaluate its consistency with declared liberal principles, specifically investigating how liberalism is cognitively reflected in CU’s discourse. Through analysis of CU’s discursive strategies claimed to embody ideological connotations across political, economic, and gender issues, the study identifies linguistic anomalies that point to a divide between liberal and non-liberal elements in the party’s disseminated discourse. This observed linguistic duality prompts critical inquiries into the consistency of the party’s ideological stance throughout a variety of contexts, a fact that stresses the necessity for further exploration of the social legitimacy of Moroccan political parties in relation to their circulated discourse.

Electrochemical redox of arsenic (III) and Cu (II) mixtures with ultraflat Au(111) thin films in water

The ability to detect trace concentrations of arsenite, As (III), in real water solutions is impacted by co-contamination of other metals and co-occurring ions. The presence of copper (II) ions are the most likely co-contaminant in natural waters to interfere with electrochemical As (III) detection, due to the close oxidation potentials of Cu (II) and As (III). The use of well-oriented ultraflat Au(111) thin film electrodes provided increased peak separation and sensitivity for electrochemical deposition and oxidation of Cu (II) and As (III) in 0.5 M sulfuric acid compared to an Au wire electrode. However, mixtures of Cu (II) and As (III) altered the oxidation peak positions during both cyclic voltammetry (CV) and linear stripping voltammetry (LSV) analysis. Calibration curves using the standard additions method in trace concentrations were conducted for Cu, As, and Cu & As solutions. Sweeping the potential at 10 mV s−1 during CV in Cu & As mixtures resulted in a sequential deposition condition where a layer of Cu inhibited co-deposition of As to the electrode. In contrast, the rapid potential stepping of LSV to a potential where Cu and As reduction simultaneously occurs produced a peak profile different from Cu or As alone. A larger oxidation peak during LSV was also observed when both Cu and As were present. X-ray photoelectron spectroscopy indicates a Cu-As alloy is formed on the surface after LSV deposition.SYNOPSIS: Analysis of Cu (II), As (III) and Cu (II) & As (III) mixtures suggests that a Cu3As intermetallic phase is formed during LSV which impacts trace As detection even in trace Cu conditions. This has important implications for the ability to determine As concentrations near the MCL of 10 µg L−1 in natural water systems which may contain Cu (II) and other co-contaminants.

Cleaner flotation separation of chalcopyrite from pyrite at low alkalinity: Based on calcium hypochlorite oxidative modification in acid mine drainage system

Efficient and clean flotation separation of copper-sulfur has attracted soaring interest in the beneficiation of sulfide ore. The objective of this work was to examine the influence of calcium hypochlorite (Ca(ClO)2) oxidative modification on the flotation separation of chalcopyrite from pyrite in acid mine drainage (AMD) system. A maximum recovery difference of 69.70 % between both minerals was observed under the recommended conditions (initial pH = 8.5 ± 0.2, [Ca(ClO)2] = 100 mg/L, [EX] = 32 mg/L, and the volume ratio of AMD to pure water = 1:1). A high-grade concentrate with 77.35 % Cu recovery and 29.01 % Cu grade was obtained, demonstrated by mixed-mineral micro-flotation experiments. Analysis of Cu and Fe ions influence indicated that low concentrations of Fe3+ and Cu2+ favored the selective separation of pyrite and chalcopyrite. Moreover, analysis of the pulp ion concentrations showed that Ca(ClO)2 promoted the dissolution of iron ions on the pyrite surface compared to chalcopyrite, thereby enhancing pyrite oxidation. The Ca(ClO)2 interacted more intensively with the pyrite surface, forming a passivated layer that impeded the adsorption of collector, as demonstrated by Zeta potential and contact angle results. The generation of hydrophilic products caused by oxidation on the pyrite surface, such as CaSO4, CaOH+, Fe(Ⅲ)–OOH, and/or Fe2(SO4)3 was confirmed by XPS analysis, further reducing the floatability of pyrite. Furthermore, local electrochemical impedance spectroscopy and scanning electron microscopy analyses further afforded favorable evidence for selective inhibition of pyrite by Ca(ClO)2 in the AMD system. This study provides a new approach to achieve cleaner separation of pyrite and chalcopyrite and offers new perspectives for AMD treatment solutions.

ESI-MS analysis of Cu(I) binding to apo and Zn7 human metallothionein 1A, 2, and 3 identifies the formation of a similar series of metallated species with no individual isoform optimization for Cu(I).

Metallothioneins (MTs) are cysteine-rich proteins involved in metal homeostasis, heavy metal detoxification, and protection against oxidative stress. Whether the four mammalian MT isoforms exhibit different metal binding properties is not clear. In this paper, the Cu(I) binding properties of the apo MT1A, apo MT2, and apo MT3 are compared and the relative Cu(I) binding affinities are reported. In all three isoforms, Cu4, Cu6, and Cu10 species form cooperatively, and MT1A and MT2 also form a Cu13 species. The Cu(I) binding properties of Zn7-MT1A, Zn7-MT2, and Zn7-MT3 are compared systematically using isotopically pure 63Cu(I) and 68Zn(II). The species formed in each MT isoform were detected through electrospray ionization-mass spectrometry and further characterized using room temperature phosphorescence spectroscopy. The mixed metal Cu, Zn species forming in MT1A, MT2, and MT3 have similar stoichiometries and their emission spectral properties indicate that analogous clusters form in the three isoforms. Three parallel metallation pathways have been proposed through analysis of the detailed Cu, Zn speciation in MT1A, MT2, and MT3. Pathway ① results in Cu5Zn5-MT and Cu9Zn3-MT. Pathway ② involves Cu6Zn4-MT and Cu10Zn2-MT. Pathway ③ includes Cu8Zn4-MT. Speciation analysis indicates that Pathway ② is the preferred pathway for MT2. This is also evident in the phosphorescence spectra with the 750nm emission from Cu6Zn4-MT being most prominent in MT2. We see no evidence for different MT isoforms being optimized or exhibiting preferences for certain metals. We discuss the probable stoichiometry for MTs in vivo based on the in vitro determined binding constants.

Molecularly imprinted polymer on cotton materials as substrates for smartphone-based image and distance-based analysis of Cu(II) in water samples.

Cotton fabric was used as a substrate for smartphone-based image analysis of Cu(II) in drinking water. To enhance its selective and specific binding sites on the cotton surface, a molecularly imprinted polymer (MIP) was introduced using color complexes of 4-(2-pyridylazo)resorcinol-Cu(II) (PAR-Cu(II)) as the template molecule, 3-aminopropyltriethoxysilane (APTES) as the functional monomer, tetraethoxysilane (TEOS) as the crosslinker and NH3 as the catalyst. After achieving optimum conditions, the obtained CF-MIP/PAR-Cu(II) presented a red color, which was changed to yellow upon the removal of Cu(II) with 1.5 M HCl. After using CF-MIP/PAR to detect Cu(II), the red, green and blue intensities of the images captured using a smartphone were analyzed using the ImageJ program. For the calibration curve plotted between Δgreen intensity and Cu concentration, the linear range was 0.10-1.0 mg L-1 with the best correlation coefficient (R2) of 0.999. The limit of detection (LOD) and the limit of quantification (LOQ) were found to be 0.038 and 0.11 mg L-1, respectively. To obtain a distance-based device, MIP-modified cotton thread (CT-MIP/PAR) with a four-channel design was used as an alternative device. The distance of red color development was measured after using CT-MIP/PAR to detect Cu(II). The linear range was 0.50-3.0 mg L-1 with an R2 of 0.997. The LOD and LOQ were 0.18 and 0.56 mg L-1, respectively. The proposed methods provide simple, portable and inexpensive devices with high accuracy and precision for the detection of Cu(II) in drinking water.

Electrical Modeling and Performance Analysis of Cu and CNT based TSV-bump-RDL

Electrical Modeling and Performance Analysis of Cu and CNT based TSV-bump-RDL

Spectroscopic analysis of Cu doped and starch capped ZnS nanocrystals synthesized by microwave irradiation

The synthesis of undoped and copper doped ZnS nanoparticles (NPs) by a facile starch mediated microwave assisted hydrothermal route is reported in this work. Polycrystalline, cubic ZnS nanostructure of the samples were revealed by X-ray diffraction studies. High resolution transmission electron microscopy (HRTEM) analysis revealed the crystalline nature of NPs with size distribution in 2–7 nm range. Analysis of X-ray emission induced by particles of samples indicated presence of copper content in the sample. Cu doping showed a strong influence on the green emission properties of the ZnS NPs under UV light illumination. The band gap values determined from UV–Vis absorption studies were higher than that for bulk ZnS (3.68 eV), confirming quantum confinement effect. Further, starch capping and Cu doping confirmed by Fourier transform infra-red (FTIR) spectra. A strong PL emission around 507 nm observed due to carrier transition from conduction band of ZnS to Cu2+ t2 level. The intensity of this peak reduced at high dopant concentration due to quenching.

Feasibility study of concentration of chemical and physical parameters in excavated water coal mining as a cage fishing destination

A research was carried out on the feasibility of chemical and physical concentrations in coal mine excavation water for use in cage fisheries. This research aims to analyze the concentration conditions of chemical parameters (NH3, pH, Cu and Fe) and physical parameters (DO, temperature and turbidity) in water originating from coal excavations which are already in the form of lakes. Samples were prepared before analysis by adding concentrated nitric acid. Analysis of Cu and Fe concentrations was carried out using an Atomic Absorption Spectrophotometer (AAS), ammonia using a UV-Vis Spectrophotometer, DO concentrations were analyzed using the titration method, turbidity analysis using a nephelometer, temperature using a thermometer and pH using a pH meter. From the research results, it was found that the physical parameters of lake water from former coal mine excavations were pH, temperature, DO, NH3 and turbidity is suitable because it has not yet passed the quality standards for designation as a cage for cultivating freshwater fish. The concentration of the heavy metal Cu in coal excavation water has exceeded the quality standards set for cultivating freshwater fish and the metal concentration Fe has not exceeded the quality standards set. Research analysis of the average concentrations of heavy metals in water samples from former coal mining pools, namely Cu (0.166; 0.278; 0.284 mg/L), and Fe (0.020; 0.029; 0.023 mg/kg).

Comparative Analysis of Cu and Ag doped ZnO: Influence of Doping Concentration and Annealing Temperature on Optical and Electrical Properties

Comparative Analysis of Cu and Ag doped ZnO: Influence of Doping Concentration and Annealing Temperature on Optical and Electrical Properties

Effects of de‐facing T1 MRI, FLAIR MRI, Amyloid PET, and Tau PET scans on imaging‐clinical correlations analyses

AbstractBackgroundAutomated face recognition can potentially re‐identify de‐identified research brain MRI, PET, and CT, and direct differences of brain measurements from original and de‐faced images are statistically significant but very minor, i.e. below scan‐rescan differences. Their effects on analyses correlating brain imaging biomarkers with clinical variables remain unknown.MethodWe sampled 3 age‐and‐sex‐matched groups (CU, MCI, and clinical AD) from Mayo Clinic aging studies, each with 61 participants with same‐visit 3D T1‐weighted and 3D T2‐FLAIR MRI, PiB amyloid PET, and Flortaucipir tau PET (total n = 183). We automatically measured hippocampal volume, PIB global SUVR, and tau temporal meta‐ROI SUVR using a) our in‐house pipeline with SPM12, MCALT, and ANTs, and b) FreeSurfer 7.3.2 (PETSurfer), and we measured voxels associated with clinical group separation using SPM12. We also measured WMH from FLAIR using a) our in‐house pipeline, b) Lesion Segmentation Tool (LST), and c) FreeSurfer’s Samseg. For each measurement, we calculated pair‐wise group separation AUC values and Spearman’s rho with age and CDR‐SOB. We then de‐faced all PET and MRI using mri_reface, our top‐performing automated de‐facing software that replaces imaged faces with an average face (“re‐facing”), and we repeated all measurements and analyses with de‐faced images. We then compared the magnitudes of clinical correlations with original images and those of de‐faced images.ResultAnalyses of original and de‐faced images had very high agreement. Only 2/55 paired comparisons were significant (Tables 1‐2): FreeSurfer‐measured global PIB SUVR from de‐faced images was more correlated with age (rho 0.003 vs ‐0.227, p = 0.046), and Mayo‐measured WMH volume from original images was more correlated with CDR‐SOB (rho 0.321 vs 0.308, p = 0.020). Another comparison‐pair tested p = 0.041 for an AUC change +0.008, which we consider not practically meaningful. All others had p>0.05. In voxel‐based analyses of CU vs AD participants, all comparisons were qualitatively similar between original and de‐faced variants (Figure 1).ConclusionDe‐facing PET and MRI using mri_reface did not significantly affect 53/55 correlations between imaging and clinical variables; of the two affected, one became stronger with re‐faced images. Stronger correlations with clinical variables may be explained by de‐facing’s standardizing face voxels and artifacts that irrelevantly affect brain segmentations.

Quantitative Analysis of Cu(II)-Induced Deterioration Effects on Barrier Performance of Soil-Bentonite Slurry

Quantitative Analysis of Cu(II)-Induced Deterioration Effects on Barrier Performance of Soil-Bentonite Slurry