bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conversion of a molecular classifier obtained by gene expression profiling into a classifier based on real-time PCR: a prognosis predictor for gliomas
Authors: Kawarazaki Satoru , Taniguchi Kazuya , Shirahata Mitsuaki , Kukita Yoji , Kanemoto Manabu , Mikuni Nobuhiro , Hashimoto Nobuo , Miyamoto Susumu , Takahashi Jun A , Kato Kikuya 
Published: November 2010

Abstract

Background
The advent of gene expression profiling was expected to dramatically improve cancer diagnosis. However, despite intensive efforts and several successful examples, the development of profile-based diagnostic systems remains a difficult task. In the present work, we established a method to convert molecular classifiers based on adaptor-tagged competitive PCR (ATAC-PCR) (with a data format that is similar to that of microarrays) into classifiers based on real-time PCR.

Methods
Previously, we constructed a prognosis predictor for glioma using gene expression data obtained by ATAC-PCR, a high-throughput reverse-transcription PCR technique. The analysis of gene expression data obtained by ATAC-PCR is similar to the analysis of data from two-colour microarrays. The prognosis predictor was a linear classifier based on the first principal component (PC1) score, a weighted summation of the expression values of 58 genes. In the present study, we employed the delta-delta Ct method for measurement by real-time PCR. The predictor was converted to a Ct value-based predictor using linear regression.

Results
We selected UBL5 as the reference gene from the group of genes with expression patterns that were most similar to the median expression level from the previous profiling study. The number of diagnostic genes was reduced to 27 without affecting the performance of the prognosis predictor. PC1 scores calculated from the data obtained by real-time PCR showed a high linear correlation (r = 0.94) with those obtained by ATAC-PCR. The correlation for individual gene expression patterns (r = 0.43 to 0.91) was smaller than for PC1 scores, suggesting that errors of measurement were likely cancelled out during the weighted summation of the expression values. The classification of a test set (n = 36) by the new predictor was more accurate than histopathological diagnosis (log rank p-values, 0.023 and 0.137, respectively) for predicting prognosis.

Conclusion
We successfully converted a molecular classifier obtained by ATAC-PCR into a Ct value-based predictor. Our conversion procedure should also be applicable to linear classifiers obtained from microarray data. Because errors in measurement are likely to be cancelled out during the calculation, the conversion of individual gene expression is not an appropriate procedure. The predictor for gliomas is still in the preliminary stages of development and needs analytical clinical validation and clinical utility studies.
Development of a candidate secondary reference procedure (immunoassay based measurement procedure of higher metrological order) for cardiac troponin I: I. Antibody characterization and preliminary validation
Authors: Noble James E. , Bunk David M. , Christenson Robert H. , Cole Kenneth D. , He Hua-Jun , Katrukha Alexei G. , Panteghini Mauro , Porter Robert A. , Schimmel Heinz , Tate Jillian R. , Wang Lili 
Published: November 2010

Abstract
In this study, the first steps in the development of a secondary reference measurement procedure (RMP) ‘higher metrological order measurement procedure’ to support the cardiac troponin I (cTnI) standardization initiative is described. The RMP should be used to assign values to serum-based secondary reference materials (RMs) without analytical artifacts causing bias. A multiplexed bead-based assay and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) were used to identify the optimum monoclonal antibody pair (clones 560 and 19C7) for the RMP. Using these antibodies, an ELISA-based procedure was developed to accurately measure the main cTnI forms present in blood. The proposed RMP appears to show no bias when tested on samples containing various troponin complexes, phosphorylated and dephosphorylated forms, and heparin. The candidate assay displayed suitable linearity and sensitivity (limit of detection, 0.052 μg/L) for the measurement of the proposed cTnI secondary RMs. Preliminary comparison data on patient samples with a commercial cTnI assay are also provided to support the suitability of RMP for value assignment to RMs. Full validation and final assessment of the RMP will be performed through transferability and inter-comparison studies.
Clin Chem Lab Med 2010;48:1603–10.
An appraisal of statistical procedures used in derivation of reference intervals
Authors: Ichihara Kiyoshi , Boyd James C. 
Published: November 2010

Abstract
When conducting studies to derive reference intervals (RIs), various statistical procedures are commonly applied at each step, from the planning stages to final computation of RIs. Determination of the necessary sample size is an important consideration, and evaluation of at least 400 individuals in each subgroup has been recommended to establish reliable common RIs in multicenter studies. Multiple regression analysis allows identification of the most important factors contributing to variation in test results, while accounting for possible confounding relationships among these factors. Of the various approaches proposed for judging the necessity of partitioning reference values, nested analysis of variance (ANOVA) is the likely method of choice owing to its ability to handle multiple groups and being able to adjust for multiple factors. Box-Cox power transformation often has been used to transform data to a Gaussian distribution for parametric computation of RIs. However, this transformation occasionally fails. Therefore, the non-parametric method based on determination of the 2.5 and 97.5 percentiles following sorting of the data, has been recommended for general use. The performance of the Box-Cox transformation can be improved by introducing an additional parameter representing the origin of transformation. In simulations, the confidence intervals (CIs) of reference limits (RLs) calculated by the parametric method were narrower than those calculated by the non-parametric approach. However, the margin of difference was rather small owing to additional variability in parametrically-determined RLs introduced by estimation of parameters for the Box-Cox transformation. The parametric calculation method may have an advantage over the non-parametric method in allowing identification and exclusion of extreme values during RI computation.
Clin Chem Lab Med 2010;48:1537–51.
An outline for a vocabulary of nominal properties and examinations – basic and general concepts and associated terms
Authors: Nordin Gunnar , Dybkaer René , Forsum Urban , Fuentes-Arderiu Xavier , Schadow Gunther , Pontet Françoise 
Published: November 2010

Abstract
Scientists of disciplines in clinical laboratory sciences have long recognized the need for a common language for efficient and safe request of investigations, reporting of results, and communication of experience and scientific achievements. Widening the scope, most scientific disciplines, not only clinical laboratory sciences, rely to some extent on various nominal examinations, in addition to measurements. The ‘International vocabulary of metrology – Basic and general concepts and associated terms’ (VIM) is designed for metrology, science of measurement. The aim of the proposed vocabulary is to suggest definitions and explanations of concepts and terms related to nominal properties, i.e., properties that can be compared for identity with other properties of the same kind-of-property, but that have no magnitude.
Clin Chem Lab Med 2010;48:1553–66.
Targeted Intervention Strategies to Increase and Maintain Mammography Utilization Among African American Women
Authors: Fouad Mona N. , Partridge Edward , Dignan Mark , Holt Cheryl , Johnson Rhoda , Nagy Chris , Person Sharina , Wynn Theresa , Scarinci Isabel 
Published: November 2010

Objectives. We assessed the impact of a theory-based, culturally relevant intervention designed to increase mammography screening among African American women in 8 underserved counties in Alabama. Methods. Using principles derived from the Stages of Change, Community Health Advisor, and Community Empowerment models, we developed strategies to increase mammography screening. Trained volunteers (N = 143) provided tailored messages to encourage adoption and maintenance of mammography screening. We collected baseline and follow-up data on 1513 women in the communities targeted for the intervention. Our goal was to decrease the number of women in stage 1 (never screened) while increasing the number of women in stage 2 (infrequently screened) and stage 3 (regularly screened). Results. At baseline, 14% (n = 211) of the women were in stage 1, 16% (n = 247) were in stage 2, and 70% (n = 1055) were in stage 3. After the 2-year intervention, 4% (n = 61) of the women remained in stage 1, 20% (n = 306) were in stage 2, and 76% (n = 1146) were in stage 3. Conclusions. Tailored motivational messages and peer support can increase mammography screening rates for African American women.
The electrical conductivity distribution of the Hallandsås Horst, Sweden: a controlled source radiomagnetotelluric study
Authors: Ismail Nazli , Pedersen Laust 
Published: November 2010

ABSTRACTWe studied the behaviour of controlled source responses of 2½D synthetic models based on controlled source tensor magnetotelluric ( = 1–12 kHz) and radio magnetotelluric ( = 14–250 kHz) data sets collected along profiles on the Hallandsås Horst, Southern Sweden, with a view to study the depth extent of possible near‐surface fractures zones that might intersect a tunnel under construction. Based upon 2.5D forward modelling of the transverse electric (TE) and transverse magnetic (TM) mode radio magnetotelluric data, a simplified 2D model was constructed such that a dipping conductor was continued down to a depth of 140 m, which is the depth of the tunnel. Based on this extended model, we calculated both plane wave and controlled source responses for the frequency range 1–250 kHz corresponding to the source location in the study. Finally, we inverted both data sets under plane wave assumptions. When comparing synthetic controlled source and plane wave data in the frequency range 1–12 kHz, we find that the controlled source tensor magnetotelluric transfer functions generally deviate from the plane wave condition for frequencies less than 6 kHz. The phases are much more distorted than apparent resistivities. The TM mode phases, in particular, are generally distorted for frequencies less than 6 kHz. Regarding the vertical magnetic fields, we find that at all frequencies the real part of tippers are distorted by source effects but the tipper component along the profile direction is much less affected by the off‐profile lying controlled source tensor magnetotelluric source than the tipper component orthogonal to the profile direction. Based upon synthetic model studies of combined controlled source tensor magnetotelluric and radio magnetotelluric responses, we find that determinant data are less distorted than individual TE‐w and TM‐mode data. On the other hand, TE‐ and TM‐responses have greater resolving power and, when used with care (selecting data that are weakly distorted by source effects), the corresponding models can resolve the conductor down to tunnel depths.
DNA‐damage RBE assessment for combined boron and gadolinium neutron capture therapy
Authors: Shamsabadi Reza , Baghani Hamid Reza 
Published: May 2024

AbstractPurposeNeutron capture therapy (NCT) by 10B and 157Gd agents is a unique irradiation‐based method which can be used to treat brain tumors. Current study aims to quantitatively evaluate the relative biological effectiveness (RBE) and dose distributions during the combined BNCT and GdNCT modalities through a hybrid Monte Carlo (MC) simulation approach.MethodsSnyder head phantom as well as a cubic hypothetical tumor was at first modeled by Geant4 MC Code. Then, the energy spectra and dose distribution relevant to the released secondary particles during the combined Gd/BNCT were scored for different concentrations of 157Gd and 10B inside tumor volume. Finally, the scored energy spectra were imported to the MCDS code to estimate both RBESSB and RBEDSB values for different 157Gd concentrations.ResultsThe results showed that combined Gd/BNCT increases the fluence‐averaged RBESSB values by about 1.7 times when 157Gd concentration increments from 0 to 2000 µg/g for both considered cell oxygen levels (pO2 = 10% and 100%). Besides, a reduction of about 26% was found for fluence‐averaged RBEDSB values with an increment of 157Gd concentration in tumor volume.ConclusionFrom the results, it can be concluded that combined Gd/BNCT technique can improve tumor coverage with higher dose levels but in the expense of RBEDSB reduction which can affect the clinical efficacy of the NCT technique.
Fullerene Intercalation of MXene Toward Super‐Long‐Cycle Sodium Ion Storage
Authors: Wang Xing , Wang Yizhe , Ni Kun , Guan Jian , Chen Muqing , Zhu Yanwu , Yang Shangfeng 
Published: May 2024

Abstract2D layered MXene‐based materials are applied as cation‐intercalation electrode materials for sodium‐ion batteries (SIBs) due to their layered structures but suffer from spontaneous restacking during Na+ insertion and deintercalation processes, resulting in sluggish reaction kinetics and poor cycling stability. Herein, fullerene C60 is intercalated covalently into the interlayer of Ti3C2Tx MXene nanosheets by using a low‐temperature hydrothermal reaction between a water‐soluble C60 derivative and hydrophilic MXene nanosheets, resulting in enlarged interlayer spacing of MXene nanosheets from 12.8 to 14.1 Å and consequently retarded self‐restacking. Moreover, the strong electron extraction ability of C60 facilitates electron transfer from MXene to C60, enabling faster charge transport during Na+ transportation. The as‐prepared C60@MXene hybrid is applied as a novel anode of SIBs, exhibiting outstanding electrochemical performance and super‐long cycling stability. C60@MXene‐based SIB delivers a specific capacity of 226.8 mAh g−1 at 0.1 A g−1 after 300 cycles, which surpasses that obtained from the pristine MXene anode, and retains 94.5% capacity at 1 A g−1 after 10 000 cycles. DFT simulations confirm that C60‐induced enlarged interlayer spacing benefits Na+ migrations, which is responsible for improved electrochemical performance and cycling stability.
Critical Review of Cu‐Based Hole Transport Materials for Perovskite Solar Cells: From Theoretical Insights to Experimental Validation
Authors: Sun Qingde , Sadhu Anupam , Lie Stener , Wong Lydia Helena 
Published: May 2024

AbstractDespite the remarkable efficiency of perovskite solar cells (PSCs), long‐term stability remains the primary barrier to their commercialization. The prospect of enhancing stability by substituting organic transport layers with suitable inorganic compounds, particularly Cu‐based inorganic hole‐transport materials (HTMs), holds promise due to their high valence band maximum (VBM) aligning with perovskite characteristics. This review assesses the advantages and disadvantages of these five types of Cu‐based HTMs. Although Cu‐based binary oxides and chalcogenides face narrow bandgap issues, the “chemical modulation of the valence band” (CMVB) strategy has successfully broadened the bandgap for Cu‐based ternary oxides and chalcogenides. However, Cu‐based ternary oxides encounter challenges with low mobility, and Cu‐based ternary chalcogenides face mismatches in VBM alignment with perovskites. Cu‐based binary halides, especially CuI, exhibit excellent properties such as wider bandgap, high mobility, and defect tolerance, but their stability remains a concern. These limitations of single anion compounds are insightfully discussed, offering solutions from the perspective of practical application. Future research can focus on Cu‐based composite anion compounds, which merge the advantages of single anion compounds. Additionally, mixed‐cation chalcogenides such as CuxM1−xS enable the customization of HTM properties by selecting and adjusting the proportions of cation M.
Room Temperature Reduction of Nitrogen Oxide on Iron Metal–Organic Frameworks
Authors: Daturi Marco , Blasin‐Aubé Vanessa , Yoon Ji Wong , Bazin Philippe , Vimont Alexandre , Chang Jong‐San , Hwang Young Kyu , Seo You‐Kyong , Jang Seunghun , Chang Hyunju , Wuttke Stefan , Horcajada Patricia , Haneda Masaaki , Serre Christian 
Published: May 2024

AbstractNitrogen oxides represent one of the main threats for the environment. Despite decades of intensive research efforts, a sustainable solution for NOx removal under environmental conditions is still undefined. Using theoretical modelling, material design, state‐of‐the‐art investigation methods and mimicking enzymes, it is found that selected porous hybrid iron(II/III) based MOF material are able to decompose NOx, at room temperature, in the presence of water and oxygen, into N2 and O2 and without reducing agents. This paves the way to the development of new highly sustainable heterogeneous catalysts to improve air quality.
Building an Elastic Mechanical Network for Highly Efficient Silicon‐Based Anodes
Authors: Chen Benqiang , Xu Dongmin , Chang Zhi , Pan Anqiang 
Published: May 2024

AbstractSilicon (Si), known for its high theoretical capacity, holds promise for developing high‐energy‐density lithium‐ion batteries (LIBs). However, the intrinsic low conductivity and substantial volume expansion limit its commercial application. Developing a binder that can suppress the massive volume expansion while improving Si conductivity is particularly important for LIBs based on Si anode. Here, grafting natural adhesive cationic guar gum (CGG) with small molecular acrylamide (AM) is proposed and applied it to the Si‐based anode. The rigid guar gum main chain and the elastic polymerized acrylamide (pAM) side chain forms a 3D network that completely encapsulated Si nanoparticles and cross‐linked with the natural hydroxyl groups on the surface of Si particles through abundant functional groups. Numerous link anchors and robust mechanical networks facilitate lithium‐ion transport and effectively mitigated the significant stress generated by silicon during charge and discharge cycles. Based on this innovative design, the Si@CGG@pAM@SP (Super P) electrode demonstrates excellent long‐term cycle stability and rate performance. The Si@CGG@pAM@SP electrode preserves 2086 mAh g−1 discharge capacity after 100 cycles (corresponding to 91.5% capacity retention). Physical characterization and electrochemical tests confirm the rationality of the polymer binder design, serving as a valuable reference for the material design of lithium‐ion batteries.
Glucose Responsive Coacervate Protocells from Microfluidics for Diabetic Wound Healing
Authors: Wang Chong , Yang Xinyuan , Wang Qiao , Zhang Linyi , Shang Luoran 
Published: May 2024

AbstractThe hyperglycemic pathophysiological environment in diabetic wounds is a major obstacle that impedes the healing process. Glucose‐responsive wound healing materials are a promising approach to address this challenge. In this study, complex coacervate‐based protocells are introduced for diabetic wound healing. By employing a microfluidic chip with an external mechanical vibrator, uniform coacervate microdroplets are generated via electrostatic interactions between diethylaminoethyl‐dextran and double‐stranded DNA. The spontaneous assembly of a phospholipid membrane on the droplet surface enhances its biocompatibility. Glucose oxidase and copper peroxide nanodots are integrated into microdroplets, enabling a glucose‐responsive cascade that produces hydroxyl radicals as antibacterial agents. These features contribute to efficient antibacterial activity and wound healing in diabetic mice. The present protocells facilitate intelligent wound management, and the design of cascade catalytic coacervates can contribute to the development of various smart vehicles for drug delivery.
Nanoparticles Dysregulate the Human Placental Secretome with Consequences on Angiogenesis and Vascularization
Authors: Dugershaw‐Kurzer Battuja , Bossart Jonas , Buljan Marija , Hannig Yvette , Zehnder Sarah , Gupta Govind , Kissling Vera M. , Nowak‐Sliwinska Patrycja , van Beijnum Judy R. , Griffioen Arjan W. , Masjosthusmann Stefan , Zühr Etta , Fritsche Ellen , Hornung René , Rduch Thomas , Buerki‐Thurnherr Tina 
Published: May 2024

AbstractExposure to nanoparticles (NPs) in pregnancy is increasingly linked to adverse effects on embryo‐fetal development and health later in life. However, the developmental toxicity mechanisms of NPs are largely unknown, in particular potential effects on the placental secretome, which orchestrates many developmental processes pivotal for pregnancy success. This study demonstrates extensive material‐ and pregnancy stage‐specific deregulation of placental signaling from a single exposure of human placental explants to physiologically relevant concentrations of engineered (silica (SiO2) and titanium dioxide (TiO2) NPs) and environmental NPs (diesel exhaust particles, DEPs). This includes a multitude of secreted inflammatory, vascular, and endocrine placental factors as well as extracellular vesicle (EV)‐associated proteins. Moreover, conditioned media (CM) from NP‐exposed explants induce pronounced anti‐angiogenic and anti‐vasculogenic effects, while early neurodevelopmental processes are only marginally affected. These findings underscore the potential of metal oxide NPs and DEPs for widespread interference with the placental secretome and identify vascular morphogenesis as a sensitive outcome for the indirect developmental toxicity of different NPs. Overall, this work has profound implications for the future safety assessment of NPs for industrial, commercial, or medical applications in pregnancy, which should consider placenta‐mediated toxicity by holistic secretomics approaches to ensure the development of safe nanotechnologies.
Artificial Intelligence Assisted Smart Self‐Powered Cable Monitoring System Driven by Time‐Varying Electric Field Using Triboelectricity Based Cable Deforming Detection
Authors: Yun Jonghyeon , Cho Hyunwoo , Kim Inkyum , Kim Daewon 
Published: May 2024

AbstractCable monitoring is essential for the prevention of machine malfunctions as machines are operated dynamically. Traditional methods of cable monitoring, conducted through portable or fixed devices, possess the inherent limitations in real‐time damage detection and precise location identification. Herein, a self‐powered, smart cable monitoring system is proposed, utilizing a triboelectric nanogenerator (TENG) as a sensor for the cable and an electric field energy harvester (EFEH) as a power source of the system. Also, the generated electrical outputs from the EFEH are theoretically and experimentally investigated according to the EFEH‐layer numbers, and the optimal number of EFEH‐layers is determined, generating an average electrical power of 2.04 mW. Through hybridization of TENG and EFEH, a synergistic effect is confirmed, resulting in a remarkable 155% enhancement in electrical energy. Consequently, the proposed system is endowed with self‐powered wireless communication capabilities. Additionally, employing a pre‐trained long short‐term memory‐based model, the system can predict the remaining lifespan of the cable with an accuracy rate of 93.7%. Considering these results, the proposed system demonstrates significant potential for industrial cable monitoring applications in the near future.