bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of TNFSF13B polymorphisms and BAFF expression in rheumatoid arthritis and primary Sjögren's syndrome patients
Authors: Santillán‐López Enrique , Muñoz‐Valle José Francisco , Oregon‐Romero Edith , Espinoza‐García Noemí , Treviño‐Talavera Beatriz Alejandra , Salazar‐Camarena Diana Celeste , Marín‐Rosales Miguel , Cruz Alvaro , Alvarez‐Gómez Jhonatan Antonio , Sagrero‐Fabela Nefertari , Cerpa‐Cruz Sergio , Palafox‐Sánchez Claudia Azucena 
Published: April 2022

AbstractBackgroundThe increased expression of B cell‐activating factor (BAFF) has been linked to autoantibody production in autoimmune diseases (ADs). The aim of this study was to investigate the association among TNFSF13B gene (OMIM: 603969) single nucleotide polymorphisms (SNPs), TNFSF13B mRNA, and soluble BAFF (sBAFF) expression in patients with rheumatoid arthritis (RA) and primary Sjögren's syndrome (pSS). The diagnostic value of sBAFF also was evaluated by the area under the curve (AUC) of receiver operating characteristic or receptor (ROC) curves.MethodsGenotypes of the TNFSF13B rs9514827 (−2841 T > C), rs1041569 (−2701 A > T) and rs9514828 (−871 C > T) SNPs were determined by PCR‐RFLP assay. TNFSF13B mRNA and sBAFF expression were performed by RT‐qPCR and ELISA, respectively. The study included 320 RA patients, 101 pSS patients, and 309 healthy subjects (HS).ResultsThe rs9514828 T allele and the TAT haplotype were associated with an increased risk to develop RA. In both ADs, the TNFSF13B mRNA levels were increased in comparison with HS. The rs9514828 (−871 C > T) polymorphism was associated with increased gene expression in RA patients. Also, sBAFF levels were higher in both ADs, however pSS patients showed the highest sBAFF levels. sBAFF showed higher diagnostic performance for pSS with an AUC of 0.968, with a similar accuracy of anti‐SSA/Ro antibody diagnosis (AUC = 0.974).ConclusionsOur findings demonstrate that the TNFSF13B rs9514828 (−871 C > T) polymorphism is a risk factor for RA in the western Mexican population. sBAFF levels may be a potential diagnosis biomarker in pSS.
Proof of linear MRI phase imaging from an internal fieldmap
Authors: Chen Zikuan , Zhai Xiulan , Chen Zeyuan 
Published: April 2022

PurposeBrain MRI phase imaging assumes a linear spatial mapping of the internal fieldmap that continues to lack theoretical proof. We herein present one proof by replacing the arithmetic mean (in MRI signal formation from the intravoxel spin precession dephasing mechanism) with the geometric mean.MethodsBy replacing the complex arithmetic mean of intravoxel dephasing isochromats with a complex geometric mean, we readily derive a linear spatial mapping of MRI phase imaging from an internal fieldmap without any restriction in phase angles. To justify the replacement of the complex arithmetic mean with the complex geometric mean for realistic brain MRI, we provide numerical T2*MRI simulations to observe the similarity and difference between arithmetic‐ and geometric‐mean phase images in diverse settings with respect to spatial resolution and echo time, with or without proton density weighting.ResultsTheoretically, the complex geometric mean model offers a theoretical proof of linear spatial mapping for MRI phase imaging. Numerical simulations of T2*MRI phase imaging show that the geometric mean conforms to the arithmetic mean at a high similarity in the small phase condition (e.g., corr > 0.90 in phase pre‐wrapping status at TE < 10 ms) and the similarity falls at large phase angles (e.g., corr ≈ 0.80 in phase‐wrapped status at TE = 30 ms).ConclusionBy replacing the arithmetic mean of intravoxel spin precession dephasing with the geometric mean, we find a theoretical proof for linear MRI phase imaging beyond the small phase condition on spin precession angles.
Frame of reference training for content analysis with structured teams (FORT‐CAST): A framework for content analysis of open‐ended survey questions using multidisciplinary coders
Authors: Galura Sandra J. , Horan Kristin A. , Parchment Joy , Penoyer Daleen , Schlotzhauer Ann , Dye Kenzie , Hill Emily 
Published: April 2022

AbstractIn the context of a global pandemic, the need for reliable analysis of qualitative data in healthcare has never been more pressing. Open‐ended questions are a feasible way for both researchers and organizational stakeholders to gain deeper insight into complex situations when timely research is needed. However, the interpretation of brief, textual responses can prove problematic. Both manual and automated/semiautomated methods of coding qualitative data have been associated with errors and costly temporal delays. Data obtained from the qualitative analysis of open‐ended questions have been questioned for lacking robust insights. The present article introduces an innovative, manual, team‐based method of analyzing responses to open‐ended survey questions. This method was developed and implemented at the outset of the COVID‐19 pandemic to understand the needs of nurses and their perceptions of organizational strategies that were implemented to address pandemic‐related challenges. This framework utilizes a dedicated project management structure, general purpose software for data collection and analysis, frame‐of‐reference training designed for an interdisciplinary team of coders, and data analysis procedures that align with qualitative content analysis procedures. In concert, these techniques empower researchd team members with varying backgrounds and disparate levels of experience to provide unique human insights to data analysis procedures, refine the coding process, and support the abstraction of meaningful themes that were used to prioritize organizational strategies and further support nurses as the pandemic progressed.
Selfishness and consumer ethics: Does (non)religiosity matter?
Authors: Arli Denni , Tjiptono Fandy 
Published: April 2022

AbstractDuring the COVID‐19 pandemic, frenzied selfishness and panic buying have dominated headlines around the globe. When people hoard supplies, others (including the needy and vulnerable people) cannot find necessities. Despite repeated calls from leaders, people worldwide continue to hoard supplies, and millions of people ignore coronavirus concerns, including churches. Hence, the purpose of this study is first to investigate the impact of consumers' (non) religiosity on selfishness and, subsequently, the impact of selfishness on consumers' ethical beliefs. Secondly, we explore do people's religiosity matters? Are religious people more ethical and less selfish than atheists or vice versa? This study uses the convenience sampling approach to investigate consumers' ethical beliefs. The sample was collected through Amazon M‐Turk and totaled 235 responses. The results show that consumers' intrinsic religiosity did not significantly influence consumers' selfishness. Furthermore, extrinsic religiosity and atheism positively influence consumers' selfishness. Finally, the results show that selfishness is prevalent in every group irrespective of the group's belief or nonbelief status. The results indicate that when exploring consumer ethics, the key measure should not only focus on consumers' religiousness or lack of religiousness but, instead, it should also include consumers' selfishness. This study offers several implications for non‐profit organizations dealing with ethical issues, and secondly, the study will have implications for ethical education among religious or non‐religious consumers. Originality/value—This is one of the first few studies investigating the impact of consumers' religiosity on selfishness. In addition, this study investigates differences between religious and non‐religious consumers on consumer ethics.
Effects of improved sodium uptake ability on grain yields of rice plants under low potassium supply
Authors: Ochiai Kumiko , Oba Kousuke , Oda Kanoko , Miyamoto Takuji , Matoh Toru 
Published: April 2022

AbstractSodium uptake is a factor that determines potassium use efficiency in plants as sodium can partially replace potassium in plant cells. Rice (Oryza sativa) roots usually exclude sodium but actively take it up when the plant is deficient in potassium. In rice roots, a sodium transporter OsHKT2;1 mediates active sodium uptake. We previously revealed that variation in the expression of OsHKT2;1 underlies the variation in sodium accumulation between a low‐sodium‐accumulating indica cultivar, IR64, and a high‐sodium‐accumulating japonica cultivar, Koshihikari. In the present study, we evaluated IR64 and its near‐isogenic line IR64‐K carrying OsHKT2;1 and neighboring genes inherited from Koshihikari for grain yield. IR64‐K had a greater average grain yield and harvest index than IR64 in a pot culture experiment with three levels of potassium fertilizer. The differences were most significant under treatment without the potassium fertilizer. IR64‐K also showed a slightly higher grain yield than IR64 when grown in a paddy field without applying the potassium fertilizer. These results suggest that enhanced sodium uptake ability improves the grain yield of rice plants under low‐potassium‐input conditions.
‘ShowMeSoy 4301’: High‐yielding soybean with multiple disease resistance and elevated seed oil content
Authors: Chen Pengyin , Shannon J. Grover , Scaboo Andrew , Crisel Melissa , Smothers Scotty , Clubb Michael , Selves Stewart , Canella Vieira Caio , Ali Md Liakat , Lee Dongho , Nguyen Henry , Li Zenglu , Mitchum Melissa Goellner , Bond Jason P. , Meinhardt Clinton G. , Usovsky Mariola , Li Shuxian , Mengistu Alemu , Zhang Bo , Mozzoni Leandro Angel , Robbins Robert T. 
Published: April 2022

Abstract‘ShowMeSoy 4301’ (Reg. no. CV‐544, PI 699899) is a conventional (non‐genetically modified) early maturity group IV soybean [Glycine max (L.) Merr.] cultivar released by the University of Missouri–Fisher Delta Research Center soybean breeding program in 2019. It originated from the cross ‘S08‐17361’ × ‘S05‐11482’′ designed to develop new high‐yielding germplasm with multiple disease resistance and desirable seed composition. ShowMeSoy 4301 is resistant to charcoal rot, frogeye leaf spot, stem canker, sudden death syndrome, southern root‐knot nematode, and reniform nematode, moderately resistant to soybean cyst nematode races 1 (HG Type 2.5.7) and 2 (HG Type 1.2.5.7), and tolerant to salt stress. Seeds of ShowMeSoy 4301 have 234.9 g kg–1 of oil, 402.4 g kg–1 of protein, and 478.4 g kg–1 of meal protein content on a dry weight basis, making it a high oil cultivar based on the industry's standards. ShowMeSoy 4301 was tested from 2014 to 2019 in a total of 150 geographically diverse environments across 13 states including Alabama, Arkansas, Illinois, Indiana, Kansas, Kentucky, Louisiana, Missouri, Mississippi, Ohio, Tennessee, Texas, and Virginia. It demonstrated high‐yielding potential and broad adaptability across multiple states. The combination of these traits with a comprehensive disease package and desirable seed composition makes it a good cultivar choice for growers in the mid‐southern United States.
Histidine methyltransferase SETD3 methylates structurally diverse histidine mimics in actin
Authors: Hintzen Jordi C. J. , Ma Huida , Deng Hao , Witecka Apolonia , Andersen Steffen B. , Drozak Jakub , Guo Hong , Qian Ping , Li Haitao , Mecinović Jasmin 
Published: April 2022

AbstractActin histidine Nτ‐methylation by histidine methyltransferase SETD3 plays an important role in human biology and diseases. Here, we report integrated synthetic, biocatalytic, biostructural, and computational analyses on human SETD3‐catalyzed methylation of actin peptides possessing histidine and its structurally and chemically diverse mimics. Our enzyme assays supported by biostructural analyses demonstrate that SETD3 has a broader substrate scope beyond histidine, including N‐nucleophiles on the aromatic and aliphatic side chains. Quantum mechanical/molecular mechanical molecular dynamics and free‐energy simulations provide insight into binding geometries and the free energy barrier for the enzymatic methyl transfer to histidine mimics, further supporting experimental data that histidine is the superior SETD3 substrate over its analogs. This work demonstrates that human SETD3 has a potential to catalyze efficient methylation of several histidine mimics, overall providing mechanistic, biocatalytic, and functional insight into actin histidine methylation by SETD3.
Mass spectral and theoretical investigations of N–Cαbond cleavages in the disulfide‐containing peptide TTCPYCKK and its analogues
Authors: Wang Jinhu , Tian Hongwu , Li Tiejian , Sun Ying , Zhou Zongyi , Shi Tiesheng 
Published: April 2022

RationaleFor disulfide‐containing peptides, mass spectrometric analyses are rarely comparably studied between their dithiol and disulfide forms. Persulfide ions afforded from peptides with a disulfide ring are from either an unusual N–Cαbond cleavage or a canonical peptide bond cleavage; their isomeric structures are, however, not identified just from peaks of mass spectra.MethodsIsomeric structures of [C3P4X5|C6M], [C3MAP4X5|C6MB] and [P4X5C6|C3M] were identified from a series of the X5substituted dicysteine octapeptides using electrospray ionization tandem mass spectrometry for both their dithiol and disulfide forms. Formation mechanisms of different persulfide ions were investigated systematically by theoretical methods. Moreover, electrostatic potential‐mapped molecular van der Waals surfaces were used to determine the stabilities of the intermediates, which gave a further evaluation of favored bond cleavage.ResultsMass spectral analyses indicated that the fragmented ions changed largely when an intramolecular disulfide bond was formed. New types of disulfide‐containing fragmented ions [C3P4X5|C6M] or [C3MAP4X5|C6MB] were thus proposed. Energy analysis showed that the N–Cαcleavage was not competitive energetically with that of the amide bond for Y5and its phosphorylated analogue. However, the N–Cαcleavage products dominated for the S5‐ and T5‐containing peptides. Stabilities of the intermediates were found to be related with the electrostatic potential‐mapped molecular van der Waals surfaces.ConclusionsPersulfide ions containing more residues than previously found were proposed not only fromb7ions but also fromy6ions. In addition, a new kind of phosphorylated analogue, [C3P4pY5|C6M], is reported in this work. Our study provides convincing results for separating isomeric structures in the cases of N–Cαcleavages, which greatly assists in the structural identification of disulfide‐containing peptides.
Neurological development in 36‐month‐old children conceived via assisted reproductive technology: The Japan Environment and Children's Study
Authors: Miyake Takao , Yamamoto Midori , Sakurai Kenichi , Eguchi Akifumi , Yoshida Masashi , Mori Chisato ,   The Japan Environment and Children's Study (JECS) Group
Published: April 2022

AbstractPurposeThis study aimed to investigate neurodevelopment in children conceived via in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) with several types of embryo transfers.MethodsWe analyzed data for 77 928 children and their mothers included in a Japanese birth cohort study. Among the included children, 4071 were conceived via IVF, while 1542 were conceived via ICSI. Neurodevelopmental delay at the age of 3 years was assessed using the Japanese version of the Ages and Stages Questionnaires, 3rd edition.ResultsIn the crude model, the odds ratios for developmental delay in 1–4 domains were higher among children conceived via IVF, ICSI, and non‐ART (ovulatory induction or intrauterine insemination) than in spontaneously conceived children. After adjusting for parental background factors and the child's sex, there were no differences in the risk of developmental delay when comparing singletons conceived by IVF, ICSI, or non‐ART and those conceived spontaneously. Higher odds ratios for developmental delay in one domain were observed in singleton girls conceived via IVF when compared with those who were spontaneously conceived.ConclusionMost cases of developmental delay may be associated with multiple pregnancies and factors related to infertility, such as parental age, irrespective of the use of ART.
A distributed model predictive control with neighborhood state feedback invariant set for reconfigurable networked systems
Authors: Zheng Yi , Li Shaoyuan , Hou Bei 
Published: April 2022

AbstractFor a class of networked systems, this article proposed a distributed model predictive control (DMPC) design where the actual control law is composed of the solution of an independent optimization problem and a neighborhood states feedback part. By the proposed method, each subsystem‐based MPC is designed in a distributed way and the neighborhood feedback provides more potential for the designed DMPC to be applied to a wider class of systems. First, an LMI optimization problem is designed for determining the parameters of the neighborhood feedback matrix and corresponding invariant sets where the information of neighboring subsystems is explicitly involved. The designed feedback control law deals with the affection of the interacted subsystems and limits the deviation between the nominal model and the real system within the robust invariant set. Then, the independent suboptimal problem is developed using a predictive model without considering interconnections among subsystems, where the state is restricted by a tightened constraint which is related to the designed robust invariant set. The feasibility and stability of the closed‐loop system are analyzed. The proposed DMPC enables the direct removal or plugging‐in of subsystems. Simulation results demonstrated the effectiveness of the method.
Remotely sensed variables explain microhabitat selection and reveal buffering behaviours against warming in a climate‐sensitive bird species
Authors: Alessandrini Corrado , Scridel Davide , Boitani Luigi , Pedrini Paolo , Brambilla Mattia 
Published: April 2022

AbstractFine‐scale habitat selection modelling can allow a mechanistic understanding of habitat selection processes, enabling better assessments of the effects of climate and habitat changes on biodiversity. Remotely sensed data provide an ever‐increasing amount of environmental and climatic variables at high spatio‐temporal resolutions, and a unique opportunity to produce fine‐scale habitat models particularly useful in challenging environments, such as high‐elevation areas. Working at a 10‐m spatial resolution, we assessed the value of remotely sensed data for investigating foraging habitat selection (in relation to topography, microclimate, land cover) in nestling‐rearing white‐winged snowfinch (Montifringilla nivalis), a high‐elevation species highly sensitive to climate change. Adult snowfinches foraged at locations with intermediate vegetation cover and higher habitat heterogeneity, also avoiding extremely warm or extremely cold microclimates. Temperature interacted with other environmental drivers in defining habitat selection, highlighting trade‐offs between habitat profitability and thermoregulation: snowfinches likely adopted mechanisms of behavioural buffering against physiologically stressful conditions by selecting for cooler, shaded and more snowy foraging grounds at higher temperatures. Our results matched those from previous studies based on accurate field measurements, confirming the species' reliance on climate‐sensitive microhabitats (snow patches and low‐sward grassland, in heterogeneous patches) and the usefulness of satellite‐derived fine‐scale modelling. Habitat suitability models built on remotely sensed predictors can provide a cost‐effective method for periodic monitoring of species' habitats both at fine grain and over large extents. Fine‐scale models also enhance our understanding of the actual drivers of (micro)habitat selection and of possible buffering behaviours against warming, allowing more accurate and robust distribution models, finer predictions of potential future changes and carefully targeted conservation strategies and habitat management.
Faster carbon turnover in topsoil with straw addition is less beneficial to carbon sequestration than subsoil and mixed soil
Authors: Dai Shan‐Shan , He Peng , Guo Xiao‐Li , Ge Tida , Oliver Margaret A. , Li Lu‐Jun 
Published: April 2022

AbstractIn arable soils, the topsoil and subsoil are commonly mixed in the operation of deep tillage. It is not yet clear whether the influence of crop straw on soil organic matter (SOM) mineralization of the mixed soil (from the topsoil and subsoil) is different from that of solely the topsoil or subsoil. We conducted a 120‐d incubation experiment with the addition of 13C‐labeled maize (Zea mays L.) straw to study SOM mineralization and straw decomposition in the topsoil (0–15 cm), subsoil (15–30 cm), and their mixture (0–30 cm). Straw addition promoted SOM mineralization and thus induced a positive priming effect. The mineralization of SOM in topsoil with straw addition was 122% higher than in subsoil, and 45% higher than in mixed soil. After the 120‐d incubation, 12–16% of straw C was mineralized as CO2, contributing approximately 50–70% to the total CO2 production. Furthermore, straw C was also incorporated into SOM fractions, with 34, 7, and 59% in the light fraction, particulate organic C (coarse and fine), and mineral‐associated organic C (MAOC) in topsoil, respectively. The SOM mineralization and priming were greater in the topsoil with higher dissolved organic C and NO3–N throughout the incubation. Despite more straw C retained in MAOC in topsoil, the significant decrease in total MAOC with straw addition indicated that SOM turnover induced by fresh C application was probably faster in topsoil than the subsoil and mixed soil. Our findings indicated that both subsoil and mixed soil tended to sequester C with straw addition, whereas topsoil C turnover was faster than subsoil in the presence of straw addition.
Conservation psychology strategies for collaborative planning and impact evaluation
Authors: Maynard Lily , Howorth Paige , Daniels Jaret , Bunney Katie‐Lyn , Snyder Rebecca , Jenike David , Barnhart Trent , Spevak Edward , Fitzgerald Patrick , Gezon Zak 
Published: April 2022

AbstractConservation psychology principles can be useful for aligning organizations and scaling up conservation programs to increase impact while strategically engaging partners and communities. We can use findings and recommendations from conservation psychology to inform organizational collaborations between zoos and aquariums to maximize efficiency and coordination. In this study, we developed and evaluated a collaborative conservation initiative for monarch butterflies built with conservation psychology principles. We present our process for collaborative program planning and the resultant collective conservation plan as well as our formative evaluation findings after 1‐year of collaboration. We share best practices for group facilitation and conservation planning along with our evaluation instruments to support future collaborative conservation initiatives.