bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbial distribution and diversity in saturated, high pH, uranium mine tailings, Saskatchewan, Canada
Authors: Wolfaardt G.M. , Hendry M.J. , Korber D.R. 
Published: November 2008

Microbiological analyses were conducted on core samples collected along a vertical profile (0–66 m below surface) from the tailings management facility (TMF) at the Rabbit Lake uranium mine in northern Saskatchewan, Canada. Bacterial numbers in the core materials were similar to surrounding soils and surface waters, regardless of the seemingly unfavorable pH (mean = 9.9) and temperature (∼0 °C) in the TMF. The greatest number of viable cells (105CFU/g) was detected at the interface between the tailings and overlying standing water, below which cell counts decreased rapidly with depth. Whole-community metabolic profiles for samples from the different depths grouped into 3 clusters; however, these groups could not be positively correlated with sampling depth, temperature, redox potential, pH, or ore-mill feed. Flow-cell studies demonstrated microbial communities in the tailings surface water could develop biofilms and maintain cell activity at both pH 10 and 7, and altering the pH between these 2 values had little effect on biofilm viability. These results demonstrate the resilience and adaptive nature of naturally occurring microbial communities and signify a potential role of microbial activity in the long-term geochemical evolution of the TMF.
Sound Jewelry
Authors: Yamauchi Takuya , Iwatake Toru 
Published: November 2008

ABSTRACT
The Sound Jewelry concept occurred to co-author Toru Iwatake, a composer, a few years ago. Since then, its realization has become a collaborative project with co-author Takuya Yamauchi, an interaction designer. Sound Jewelry is an evolving project, therefore the actual method of its realization may differ in one way or another with each use, but the essential concept of creating an interactive sound environment using sensing capabilities remains the same.
Gene Expression and Isoform Variation Analysis using Affymetrix Exon Arrays
Authors: Bemmo Amandine , Benovoy David , Kwan Tony , Gaffney Daniel J , Jensen Roderick V , Majewski Jacek 
Published: November 2008

Abstract

Background
Alternative splicing and isoform level expression profiling is an emerging field of interest within genomics. Splicing sensitive microarrays, with probes targeted to individual exons or exon-junctions, are becoming increasingly popular as a tool capable of both expression profiling and finer scale isoform detection. Despite their intuitive appeal, relatively little is known about the performance of such tools, particularly in comparison with more traditional 3' targeted microarrays. Here, we use the well studied Microarray Quality Control (MAQC) dataset to benchmark the Affymetrix Exon Array, and compare it to two other popular platforms: Illumina, and Affymetrix U133.

Results
We show that at the gene expression level, the Exon Array performs comparably with the two 3' targeted platforms. However, the interplatform correlation of the results is slightly lower than between the two 3' arrays. We show that some of the discrepancies stem from the RNA amplification protocols, e.g. the Exon Array is able to detect expression of non-polyadenylated transcripts. More importantly, we show that many other differences result from the ability of the Exon Array to monitor more detailed isoform-level changes; several examples illustrate that changes detected by the 3' platforms are actually isoform variations, and that the nature of these variations can be resolved using Exon Array data. Finally, we show how the Exon Array can be used to detect alternative isoform differences, such as alternative splicing, transcript termination, and alternative promoter usage. We discuss the possible pitfalls and false positives resulting from isoform-level analysis.

Conclusion
The Exon Array is a valuable tool that can be used to profile gene expression while providing important additional information regarding the types of gene isoforms that are expressed and variable. However, analysis of alternative splicing requires much more hands on effort and visualization of results in order to correctly interpret the data, and generally results in considerably higher false positive rates than expression analysis. One of the main sources of error in the MAQC dataset is variation in amplification efficiency across transcripts, most likely caused by joint effects of elevated GC content in the 5' ends of genes and reduced likelihood of random-primed first strand synthesis in the 3' ends of genes. These effects are currently not adequately corrected using existing statistical methods. We outline approaches to reduce such errors by filtering out potentially problematic data.
Novel Automated Biomarker Discovery Work Flow for Urinary Peptidomics
Authors: Balog Crina I , Hensbergen Paul J , Derks Rico , Verweij Jaco J , van Dam Govert J , Vennervald Birgitte J , Deelder André M , Mayboroda Oleg A 
Published: November 2008

AbstractBackground: Urine is potentially a rich source of peptide biomarkers, but reproducible, high-throughput peptidomic analysis is often hampered by the inherent variability in factors such as pH and salt concentration. Our goal was to develop a generally applicable, rapid, and robust method for screening large numbers of urine samples, resulting in a broad spectrum of native peptides, as a tool to be used for biomarker discovery.Methods: Peptide samples were trapped, desalted, pH-normalized, and fractionated on a miniaturized automatic reverse-phase strong cation exchange (RP-SCX) cartridge system. We analyzed eluted peptides using MALDI-TOF, Fourier transform ion cyclotron resonance, and liquid chromatography-iontrap mass spectrometry. We determined qualitative and quantitative reproducibility of the system and robustness of the method using BSA digests and urine samples, and we used a selected set of urine samples from Schistosoma haematobium-infected individuals to evaluate clinical applicability.Results: The automated RP-SCX sample cleanup and fractionation system exhibits a high qualitative and quantitative reproducibility, with both BSA standards and urine samples. Because of the relatively high cartridge binding capacity (1–2 mL urine), eluted peptides can be measured with high sensitivity using multiple mass spectrometric techniques. As proof of principle, hemoglobin-derived peptides were identified in urine samples from S. haematobium-infected individuals, even when the microhematuria test was negative.Conclusions: We present a practical, step-by-step method for screening and identification of urinary peptides. Alongside the analytical method evaluation on standard samples, we demonstrate its feasibility with actual clinical material.
Effects of Total and Selective Bonding on Marginal Adaptation and Microleakage of Class I Resin Composite Restorations In Vitro
Authors: Schmidlin P. R. , Huber T. , Göhring T. N. , Attin T. , Bindl A. 
Published: November 2008

Clinical Relevance
Within the limitations of the current study, the use of glass ionomer liners improves the margin quality of Class I resin composite restorations and reduces leakage.
The Effect of the Presence and Presentation Mode of Co-Initiators on the Microtensile Bond Strength of Dual-Cured Adhesive Systems Used in Indirect Restorations
Authors: Cavalcanti S. C. S. X. B. , Arais C. A. G. , Oliveira M. T. , Giannini M. 
Published: November 2008

Clinical Relevance
The presentation mode of co-initiators added to bonding agents may affect the bond strength of indirect composite restorations to dentin.
Electronic Health Record Population Health Management for Chronic Kidney Disease Care
Authors: Jhamb Manisha , Weltman Melanie R. , Devaraj Susan M. , Lavenburg Linda-Marie Ustaris , Han Zhuoheng , Alghwiri Alaa A. , Fischer Gary S. , Rollman Bruce L. , Nolin Thomas D. , Yabes Jonathan G. 
Published: April 2024

ImportanceLarge gaps in clinical care in patients with chronic kidney disease (CKD) lead to poor outcomes.ObjectiveTo compare the effectiveness of an electronic health record–based population health management intervention vs usual care for reducing CKD progression and improving evidence-based care in high-risk CKD.Design, Setting, and ParticipantsThe Kidney Coordinated Health Management Partnership (Kidney CHAMP) was a pragmatic cluster randomized clinical trial conducted between May 2019 and July 2022 in 101 primary care practices in Western Pennsylvania. It included patients aged 18 to 85 years with an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73m2 with high risk of CKD progression and no outpatient nephrology encounter within the previous 12 months.InterventionsMultifaceted intervention for CKD comanagement with primary care clinicians included a nephrology electronic consultation, pharmacist-led medication management, and CKD education for patients. The usual care group received CKD care from primary care clinicians as usual.Main Outcomes and MeasuresThe primary outcome was time to 40% or greater reduction in eGFR or end-stage kidney disease.ResultsAmong 1596 patients (754 intervention [47.2%]; 842 control [52.8%]) with a mean (SD) age of 74 (9) years, 928 (58%) were female, 127 (8%) were Black, 9 (0.6%) were Hispanic, and the mean (SD) estimated glomerular filtration rate was 36.8 (7.9) mL/min/1.73m2. Over a median follow-up of 17.0 months, there was no significant difference in rate of primary outcome between the 2 arms (adjusted hazard ratio, 0.96; 95% CI, 0.67-1.38; P = .82). Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker exposure was more frequent in intervention arm compared with the control group (rate ratio, 1.21; 95% CI, 1.02-1.43). There was no difference in the secondary outcomes of hypertension control and exposure to unsafe medications or adverse events between the arms. Several COVID-19–related issues contributed to null findings in the study.Conclusion and RelevanceIn this study, among patients with moderate-risk to high-risk CKD, a multifaceted electronic health record–based population health management intervention resulted in more exposure days to angiotensin-converting enzyme inhibitors/angiotensin receptor blockers but did not reduce risk of CKD progression or hypertension control vs usual care.Trial RegistrationClinicalTrials.gov Identifier: NCT03832595
Interval parity relations design for fault diagnosis
Authors: Zhirabok Alexey , Zuev Alexander , Filaretov Vladimir 
Published: April 2024

SummaryThe problem of interval parity relations design for systems described by linear and nonlinear models under the external disturbances is considered. The problem is solved based on the reduced‐order model of the original system. The relations allowing designing interval parity relations insensitive or having minimal sensitivity to the disturbances are obtained. The obtained interval parity relations are used to solve the problem of fault diagnosis. Theoretical results are illustrated by example.
Machine learning‐based data fusion method for wireless sensor networks
Authors: Liang Chunda , Yao Qi 
Published: April 2024

AbstractFor wireless sensor networks (WSNs), sensor nodes lose a certain amount of energy during the information collection and transmission process, and sensor nodes powered by non‐replaceable batteries have limited energy and need to be controlled for energy consumption. In the face of the energy consumption issue in WSN data transmission, research has been conducted to analyze data fusion methods in order to reduce energy consumption. Based on machine learning techniques, a Deep Stacked Auto‐Encoder (DSAE) model is constructed and trained using a layer‐wise greedy approach. By combining this model with WSN, an algorithm based on the DSAE model, called Deep Stacked Auto‐Encoder Data Fusion Algorithm (DSAEDFA), is obtained to do data fusion. The results show that compared to other algorithms, the proposed fusion algorithm has better fusion performance. When the number of iterations is set to 500, the DSAEDFA has 281 surviving nodes, which is 10 more than the Back‐Propagation Data Fusion Algorithm (BPDFA) and 144 more than the Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm. When the number of failed nodes is 40, the DSAEDFA has a network survival time of 2562 rounds, which is 746 rounds longer than the LEACH algorithm. The research method effectively extends the lifespan of wireless sensor networks and reduces data transmission energy consumption. Compared to previous methods, the proposed method consider the factors of node residual energy and distance on the basis of traditional routing protocols, making the selection of cluster heads more reasonable. The proposed method can organically combine the DSAE model with the clustering model, optimize the data fusion method, and improve the performance of the algorithm. In addition, by combining the DSAE model, a machine learning technique with clustering models has been expanded in terms of the application scope.
Thickness‐Dependent Crystal Structure, Synthesis, and Magnetism of Thin Film Chromium Chalcogenides: A Review
Authors: Liu Xinghui , Gebredingle Yisehak , Guo Xiang , Zhang Fuchun , Kim Nammee 
Published: April 2024

AbstractIn the search for two‐dimensional (2D) magnets operating under ambient conditions, quasi‐2D non‐van der Waals (vdW) materials have attracted considerable research interest over the last five years. In addition to their high Curie temperature (TC), their superior air stability to that of vdW 2D magnets has made them potential candidates for future room‐temperature spintronics applications. Furthermore, recent progress in the thickness‐dependent crystal lattice and magnetic properties of non‐vdW Cr2X3 (X = S, Se, or Te) has brought them to areas that are once set aside for 2D vdW magnets in fundamental research and applications. Despite covalent bonding between magnetic layers, various bottom‐up synthesis methods produced thickness‐controlled flakes of Cr2X3. Moreover, layer‐dependent structural and magnetic properties are among the novel research directions in these materials. This review systematically summarizes recent studies on Cr2X3 crystal structure, their controllable synthesis, and their respective magnetic properties. A summary of some significant results on thickness‐controlled synthesis in Cr2X3 and thickness‐dependent magnetism in Cr2Te3 is presented. Additionally, experimental and theoretical reports are presented to explain interlayer magnetic interaction. The work reveals the interaction between synthesis, structure, and magnetism. Finally, future research directions of new Cr2X3‐based materials, rich magnetism in Cr2X3, and their potential application are discussed.
Controlled Dedoping and Redoping of N‐Doped Poly(benzodifurandione) (n‐PBDF)
Authors: Ke Zhifan , Chaudhary Jagrity , Flagg Lucas Q. , Baustert Kyle N. , Yusuf Augustine O. , Liu Guangchao , You Liyan , Graham Kenneth R. , DeLongchamp Dean M. , Mei Jianguo 
Published: April 2024

AbstractThe doping levels of conjugated polymers significantly influence their conductivity, energetics, and optical properties. Recently, a highly conductive n‐doped polymer called poly (3,7‐dihydrobenzo[1,2‐b:4,5‐b′]difuran‐2,6‐dione) (poly(benzodifurandione), n‐PBDF) is discovered, opening new possibilities for n‐type conducting polymers in printed electronics and other fields. Controlling the doping level of n‐PBDF is of great interest due to its wide range of potential applications. Here controlled dedoping and redoping of n‐PBDF is reported and a mechanistic understating of such a process is provided. Dedoping occurs through electron transfer and proton capture, wherein the ionic dopants, tris(4‐bromophenyl)ammoniumyl hexachloroantimonate (Magic Blue), exhibit efficient proton capture ability and stronger interaction with n‐PBDF, resulting in high dedoping efficiency. Moreover, chemically dedoped PBDF can be redoped using various proton‐coupled electron transfer agents. By manipulating the doping levels of n‐PBDF thin films, ranging from highly doped to dedoped states, the system demonstrates controllable conductivity in five orders of magnitude, adjustable optical properties, and energetics. As a result, these characteristics demonstrate the potential applications of n‐PBDF in organic electrochemical transistors and thermoelectrics.
Mn‐Based Mullites for Environmental and Energy Applications
Authors: Li Huan , Wang Wanying , Xu Jinchao , Wang Ansheng , Wan Xiang , Yang Liyuan , Zhao Haojun , Shan Qingyu , Zhao Chunning , Sun Shuhui , Wang Weichao 
Published: April 2024

AbstractMn‐based mullite oxides AMn2O5 (A = lanthanide, Y, Bi) is a novel type of ternary catalyst in terms of their electronic and geometric structures. The coexistence of pyramid Mn3+–O and octahedral Mn4+–O makes the d‐orbital selectively active toward various catalytic reactions. The alternative edge‐ and corner‐sharing stacking configuration constructs the confined active sites and abundant active oxygen species. As a result, they tend to show superior catalytic behaviors and thus gain great attention in environmental treatment and energy conversion and storage. In environmental applications, Mn‐based mullites have been demonstrated to be highly active toward low‐temperature oxidization of CO, NO, volatile organic compounds (VOCs), etc. Recent research further shows that mullites decompose O3 and ozonize VOCs from −20 °C to room temperature. Moreover, mullites enhance oxygen reduction reactions (ORR) and sulfur reduction reactions (SRR), critical kinetic steps in air‐battery and Li–S batteries, respectively. Their distinctive structures also facilitate applications in gas‐sensitive sensing, ionic conduction, high mobility dielectrics, oxygen storage, piezoelectricity, dehydration, H2O2 decomposition, and beyond. A comprehensive review from basic physicochemical properties to application certainly not only gains a full picture of mullite oxides but also provides new insights into designing heterogeneous catalysts.
Temperature Dependence of Relativistic Valence Band Splitting Induced by an Altermagnetic Phase Transition
Authors: Hajlaoui Mahdi , Wilfred D'Souza Sunil , Šmejkal Libor , Kriegner Dominik , Krizman Gauthier , Zakusylo Tetiana , Olszowska Natalia , Caha Ondřej , Michalička Jan , Sánchez‐Barriga Jaime , Marmodoro Alberto , Výborný Karel , Ernst Arthur , Cinchetti Mirko , Minar Jan , Jungwirth Tomas , Springholz Gunther 
Published: April 2024

AbstractAltermagnetic (AM) materials exhibit non‐relativistic, momentum‐dependent spin‐split states, ushering in new opportunities for spin electronic devices. While the characteristics of spin‐splitting are documented within the framework of the non‐relativistic spin group symmetry, there is limited exploration of the inclusion of relativistic symmetry and its impact on the emergence of a novel spin‐splitting in the band structure. This study delves into the intricate relativistic electronic structure of an AM material, α−MnTe. Employing temperature‐dependent angle‐resolved photoelectron spectroscopy across the AM phase transition, the emergence of a relativistic valence band splitting concurrent with the establishment of magnetic order is elucidated. This discovery is validated through disordered local moment calculations, modeling the influence of magnetic order on the electronic structure and confirming the magnetic origin of the observed splitting. The temperature‐dependent splitting is ascribed to the advent of relativistic spin‐splitting resulting from the strengthening of AM order in α−MnTe as the temperature decreases. This sheds light on a previously unexplored facet of this intriguing material.
Resonant Fully Dielectric Metasurfaces for Ultrafast Terahertz Pulse Generation
Authors: Peters Luke , Rocco Davide , Olivieri Luana , Arregui Leon Unai , Cecconi Vittorio , Carletti Luca , Gigli Carlo , Della Valle Giuseppe , Cutrona Antonio , Totero Gongora Juan Sebastian , Leo Giuseppe , Pasquazi Alessia , De Angelis Costantino , Peccianti Marco 
Published: April 2024

AbstractMetasurfaces represent a new frontier in materials science paving for unprecedented methods of controlling electromagnetic waves, with a range of applications spanning from sensing to imaging and communications. For pulsed terahertz (THz) generation, metasurfaces offer a gateway to tuneable thin emitters that can be utilized for large‐area imaging, microscopy, and spectroscopy. In literature, THz‐emitting metasurfaces generally exhibit high absorption, being based either on metals or on semiconductors excited in highly resonant regimes. Here, the use of a fully dielectric semiconductor exploiting morphology‐mediated resonances and inherent quadratic nonlinear response is proposed. This system exhibits a remarkable 40‐fold efficiency enhancement compared to the unpatterned at the peak of the optimized wavelength range, demonstrating its potential as a scalable emitter design.
Planting date and dicamba‐based herbicide programs influence soybean production in the Southern Great Plains
Authors: Kezar Sarah , Kankarla Vanaja , Lofton Josh 
Published: April 2024

AbstractThe interplay of management decisions involving soybean (Glycine max L.) planting date, herbicide programs, and herbicide application timings is critical to optimize soybean performance and weed control in Southern Great Plains soybean production systems. This research sought to evaluate soybean yield potential and the level of weed control as influenced by early‐, delayed‐, and late‐ planting dates and various combinations of preemergence (PRE), early‐postemergence (EPOST), and mid‐postemergence (MPOST) weed management programs. A field study was established in Bixby, OK in 2017 and 2018 under irrigated conditions and in Perkins, OK in 2017 under dryland conditions, consisting of three planting windows (early, delayed, and late) of XtendFlex soybean, with or without a PRE (chlorimuron + flumioxazin + pyroxasulfone + glyphosate + dicamba) combined with EPOST or EPOST + MPOST (glyphosate + dicamba) versus no in‐season applications. The gap in late‐planted soybean yield potential, compared to early‐planted soybean, was exacerbated in the dryland systems (1346 kg ha−1) versus an irrigated system (2311 kg ha−1). Use of PRE provided 60% weed control until MPOST and increased yields by 657 kg ha−1 and 457 kg ha−1 for delayed and late‐planted soybean, respectively. Late‐planted soybean with EPOST + MPOST provided up to 50% weed control, but lack of biomass production for cultural control reduced weed control by 29% compared to early‐ and delayed‐planted soybean. From an agronomic management standpoint, the time of soybean planting is influential on the success of weed control measures and soybean yields in double‐cropping system in the Southern Great Plains, particularly with late‐planted soybean.
Catalytic and noncatalytic CO2 abs‐desorption studies of MEA‐TETA‐DEEA/MEA‐TETA‐AMP tri‐solvents at specific blended ratios
Authors: Wei Yan , Shi Huancong , Jin Jing , Ge Yingli , Feng Yongcheng 
Published: April 2024

AbstractTo discover the “coordinative effect” within MEA‐polyamines, the non‐catalytic CO2 absorption‐desorption tests were conducted within tri‐solvents of “MEA‐TETA (triethylenetetramine)‐DEEA (N, N‐diethylethanolamine)/AMP(2‐amino‐2‐methyl‐1‐propanol)” at specific concentrations of .1 ~ .5 + 2 + 2 mol/L for the first time. The energy efficient combinations were detected of MEA‐TETA based tri‐solvents with solid acid catalysts, from catalytic CO2 desorption experiments onto MEA‐TETA‐DEEA/MEA‐TETA‐AMP with several commercial solid acid catalysts: blended γ‐Al2O3/H‐ZSM‐5 = 2:1, H‐mordenite, H‐Beta (Hβ), HND‐580, and HND‐8. Three parameters were adopted to evaluate desorption activity: average desorption rate, heat duty, and desorption factors (DFs). After analyses, the .1 + 2 + 2 mol/L MEA‐TETA‐AMP with catalyst HND‐8 possessed the best CO2 desorption at 95–98°C with biggest DF. The desorption ability of DEEA was better than AMP, but with aid of solid acid catalyst, the AMP can release more CO2 than DEEA due to weak stability of AMP‐CO2− carbamate.