bluuebunny/crossref_metadata_2025_split huggingface dataset:
Snowpack relative permittivity and density derived from near‐coincident lidar and ground‐penetrating radar
Authors: Bonnell Randall , McGrath Daniel , Hedrick Andrew R. , Trujillo Ernesto , Meehan Tate G. , Williams Keith , Marshall Hans‐Peter , Sexstone Graham , Fulton John , Ronayne Michael J. , Fassnacht Steven R. , Webb Ryan W. , Hale Katherine E. 
Published: October 2023

AbstractDepth‐based and radar‐based remote sensing methods (e.g., lidar, synthetic aperture radar) are promising approaches for remotely measuring snow water equivalent (SWE) at high spatial resolution. These approaches require snow density estimates, obtained from in‐situ measurements or density models, to calculate SWE. However, in‐situ measurements are operationally limited, and few density models have seen extensive evaluation. Here, we combine near‐coincident, lidar‐measured snow depths with ground‐penetrating radar (GPR) two‐way travel times (twt) of snowpack thickness to derive >20 km of relative permittivity estimates from nine dry and two wet snow surveys at Grand Mesa, Cameron Pass, and Ranch Creek, Colorado. We tested three equations for converting dry snow relative permittivity to snow density and found the Kovacs et al. (1995) equation to yield the best comparison with in‐situ measurements (RMSE = 54 kg m−3). Variogram analyses revealed a 19 m median correlation length for relative permittivity and snow density in dry snow, which increased to >30 m in wet conditions. We compared derived densities with estimated densities from several empirical models, the Snow Data Assimilation System (SNODAS), and the physically based iSnobal model. Estimated and derived densities were combined with snow depths and twt to evaluate density model performance within SWE remote sensing methods. The Jonas et al. (2009) empirical model yielded the most accurate SWE from lidar snow depths (RMSE = 51 mm), whereas SNODAS yielded the most accurate SWE from GPR twt (RMSE = 41 mm). Densities from both models generated SWE estimates within ±10% of derived SWE when SWE averaged >400 mm, however, model uncertainty increased to >20% when SWE averaged <300 mm. The development and refinement of density models, particularly in lower SWE conditions, is a high priority to fully realize the potential of SWE remote sensing methods.
Spatial variability of stable isotopes in river water over the Tibetan Plateau
Authors: Fan Xuemei , Gao Jing , Zhao Aibin , Gong Ping 
Published: October 2023

AbstractEstimating isotopic changes of river water on the Tibetan Plateau (TP) remains highly uncertain due to variable water sources related with seasonality of atmospheric circulations and local kinetic fractionation. The in‐depth understanding of such changes is crucial for accurate palaeoaltimetry reconstruction and for river budget evaluation which related with surviving of one‐fifth of the world's population under accelerated warming. Here, we present a comprehensive river water isotopic composition dataset (δ18O, δD and d‐excess, 1852 samples) over the TP to systematically describe spatial distribution and explore possible controlling factors of isotopic data in theses rivers. Results showed that δ18O in river water range from −20.8‰ to −5.2‰ (latitudinally, 0.92‰ per degree), enriching northwardly in the seven exorheic river basins. The d‐excess values range from −19.7‰ to 20.5‰ with the pronounced low values in endorheic rivers basins. We identified that moisture sources and atmospheric transports leave significant signals in isotopic compositions of river water in the Upper Brahmaputra (UB), Upper Mekong (UM) and Upper Yangtze (UYA) basins, and local processes modify the isotopic signals mainly in the Upper Salween (US), Upper Indus (UI), Upper Yellow (UYE) and Endorheic Rivers (ER) basins. The δ18O‐elevation relationships are only established in the UB, UI and UYE with lapse rates of −4.4‰/km, −3.4‰/km and −3.5‰/km, respectively. We suggest that as changes of moisture sources and lapse rates in different basins, it is cautious to apply δ18O‐elevation lapse rates for palaeoaltimetry reconstruction. Our dataset will benefit regional studies of hydrological, biogeochemistry, palaeoaltimetry reconstruction and palaeoclimate.
Quasicrystal Structure Prediction: A Review
Authors: Widom Michael , Mihalkovič Marek 
Published: October 2023

AbstractPredicting quasicrystal structures is a multifaceted problem that can involve predicting a previously unknown phase, predicting the structure of an experimentally observed phase, or predicting the thermodynamic stability of a given structure. We survey the history and current state of these prediction efforts with a focus on methods that have improved our understanding of the structure and stability of known metallic quasicrystal phases. Advances in the structural modeling of quasicrystals, along with first principles total energy calculation and statistical mechanical methods that enable the calculation of quasicrystal thermodynamic stability, are illustrated by means of cited examples of recent work.
Subphenotypes of severe early‐onset pre‐eclampsia at hospital admission. A Latin American single‐center exploratory latent class analysis
Authors: Rojas‐Suarez Jose , Carvajal Javier A. , Echavarria Maria P. , Ramos Isabella , Zambrano Maria A. , Hincapie Maria A. , Peña Evelyn E. , Libreros Laura , Escobar María F. 
Published: October 2023

AbstractObjectivesTo identify distinct subphenotypes of severe early‐onset pre‐eclampsia in Latin America and analyze biomarker and hemodynamic trends between subphenotypes after hospital admission.MethodsA single‐center prospective cohort study was conducted in Colombia. The latent class analysis identified subphenotypes using clinical variables, biomarkers, laboratory tests, and maternal hemodynamics. Class‐defining variables were restricted to measurements at and 24 h after admission. Primary and secondary outcomes were severe maternal and perinatal complications.ResultsAmong 49 patients, two subphenotypes were identified: Subphenotype 1 (34.7%) had a higher likelihood of an sFlt‐1/PlGF ratio ≤ 38, maternal age > 35, and low probability of TPR > 1400, CO <8, and IUGR; Subphenotype 2 (65.3%) had a low likelihood of an sFlt‐1/PlGF ratio < 38, maternal age > 35, and high probability of TPR > 1400, CO <8, and IUGR. At 24 h postadmission, 64.7% of subphenotype 1 patients changed to subphenotype 2, while 25% of subphenotype 2 patients were reclassified as subphenotype 1. Subphenotype 1 displayed significant changes in CO and TPR, while subphenotype 2 did not. Maternal complications were more prevalent in subphenotype 2, with an odds ratio of 5.3 (95% CI: 1.3–22.0; P = 0.02), but no significant differences in severe neonatal complications were observed.ConclusionsWe identified two distinct subphenotypes in a Latin American cohort of patients with severe early‐onset pre‐eclampsia. Subphenotype 2, characterized by higher TPR, sFlt‐1, and serum creatinine and lower CO and PlGF at admission, was associated with worse maternal outcomes and appeared less modifiable after in‐hospital treatment.
The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation
Authors: Kejriwal Mohitosh , Li Xiaoxiao , Nguyen Linh , Totty Evan 
Published: October 2023

SummaryA common approach to addressing ability bias is to augment the earnings‐schooling regression with proxies for cognitive and non‐cognitive skills. We evaluate this approach using a factor model framework, which allows consistent estimation of the returns to schooling without relying on proxies. The factor model estimators may be viewed as implicitly estimating proxy measurement error and/or accounting for omitted dimensions of ability. A bias decomposition quantifies the contribution of the proxies while the estimated latent skills are used to construct direct tests for their viability. Both sets of results confirm the inadequacy of the proxies in capturing the latent skills.
Enhancement of greenhouse gas adsorption on the new α‐type reconstructed structure of two‐dimensional borophene via biaxial strain engineering
Authors: Santos‐Putungan Alexandra , Diego Khloe Ysabelle , Putungan Darwin Barayang 
Published: October 2023

AbstractThe adsorption of CO, CO2, and N2O on a newly found α‐type reconstructed form of borophene was investigated via density functional theory calculations. It is revealed that the new α‐type reconstructed borophene structure consists of several large holes, and has the same order of stability as the predicted α1‐borophene in Wu et al. On the pristine reconstructed borophene case, CO and CO2 adsorb moderately and weakly, respectively. Interestingly, N2O spontaneously dissociated on the α‐type reconstructed borophene. Upon the application of biaxial strain, especially at 10%, the adsorption of CO and CO2 on the reconstructed borophene becomes significantly enhanced, and this is attributed to changes in the density of states near the Fermi level of the reconstructed borophene.
Homework assignments in relational psychoanalytic treatment of personality disorders: A case study of a patient with narcissistic personality disorder
Authors: Magistrale Giuseppe , Hasson‐Ohayon Ilanit , Lysaker Paul H. , Dimaggio Giancarlo 
Published: October 2023

AbstractHomework assignments, or specific tasks patients are asked to engage in or complete between sessions, are a controversial topic among psychoanalysts. While many argue these interventions contradict psychoanalytic principles, others believe they can help address problems and promote coping skills. We propose that homework can be a legitimate aspect of relational psychoanalysis when used in a way that is attuned to the patient's experience and that homework may be an important component of treating personality disorders (PD). We present the case of a man diagnosed with narcissistic PD. He often felt superior to and reported that he despised others, though the core self‐image was of fragile. He embraced the role of the omnipotent caregiver, which came with boredom and anger and lack of satisfaction in his social life. The patient tried to control therapy, asserting that he could psychoanalyze himself. As a result, therapy was stalled and progress was limited. At this point, the therapist asked him to complete homework assignments that encouraged him to refrain from his compulsive caregiving to better understand what motivated this behavior. Through this process, the patient came to realize he acted out of avoidance, as he did not want to disclose his own vulnerabilities and flaws. At that point he was able to experience relationships while adopting different stances and finding new meanings. We argue that homework can be fully integrated into the relational psychoanalytic repertoire to improve self‐reflection and foster change in patients with PD.
Polymer and alcohol‐based three‐phase partitioning systems for separation of polysaccharide and protein
Authors: Antunes Evelyn C. , Temmink Hardy , Schuur Boelo 
Published: October 2023

AbstractBACKGROUNDNatural polymers are macromolecules produced by living organisms, and they have a wide range of applications and relevance for the development of a circular economy. However, large‐scale production continues to be hindered by several factors, such as downstream processing. In this work, three‐phase partitioning (TPP) systems were investigated for separation of model polysaccharide (dextran, alginate, and gum arabic) from protein [Bovine serum albumin (BSA) and lysozyme]. The recyclability of the phase‐forming compounds used to form the extractive platform was assessed by ultrafiltration (UF). This study contributes to the development of production processes for biopolymers from fermented waste by proposing an effective separation technique for fractionation of biopolymers. Such biopolymers are often collected as mixtures, but with the studied approaches, fractionation of polysaccharides from proteins may also be employed. With the chosen systems, the scope of TPP systems is expanded by using another class of phase‐forming compound (polymers); in addition, UF was studied as a versatile regeneration approach.RESULTSWithin the TPP approach, the best separation of dextran from BSA was achieved using TPP systems composed of 25 wt% polyethylene glycol (PEG) + 25 wt% K3C6H5O7 and 36 wt% EtOH + 10 wt% K3PO4, in which more than 95% of dextran and BSA were found as precipitate and partitioned to top phase (PEG or EtOH‐rich), respectively. By using other model compounds, it was found that the molecular weight and charge of the biopolymer play a key role in the yield and selectivity of TPP systems. Finally, by using ultrafiltration/diafiltration, about 99% of the ethanol and phosphate salt used to form the extractive platform could be retrieved in the permeate stream.CONCLUSIONThe high extraction yields, good selectivity, and recyclability of phase‐forming compounds confirm the potential of polymer‐based and alcohol‐based TPP systems to fractionate biopolymer mixtures. © 2023 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
Immune infiltration and clinical significance analyses of the cancer‐associated fibroblast‐related signature in skin cutaneous melanoma
Authors: Cen Xintao , Li Mengna , Yao Amin , Zheng Yue , Lai Wei 
Published: October 2023

AbstractBackgroundSkin cutaneous melanoma (SKCM) is one of the most aggressive cancers with high mortality rates. Cancer‐associated fibroblasts (CAFs) play essential roles in tumor growth, metastasis and the establishment of a pro‐tumor microenvironment. This study aimed to establish a CAF‐related signature for providing a new perspective for indicating prognosis and guiding therapeutic regimens of SKCM patients.MethodsIn this study, the CAF‐related genes were screened out based on melanoma‐associated fibroblast markers identified from single‐cell transcriptome analysis in the Gene Expression Omnibus (GEO) database and a CAF‐related module identified from weighted gene co‐expression analysis using The Cancer Genome Atlas (TCGA) dataset. We extracted these gene expression data of SKCM samples from TCGA and constructed a prognostic CAF‐related signature. The prediction abilities of the signature for survival prognosis, tumor immune landscape and responses to chemo‐/immunotherapies were evaluated in the TCGA‐SKCM cohort.ResultsWe suggested that CAFs were significantly involved in the clinical outcomes of SKCM. A 10‐gene CAF‐related model was constructed, and the high‐CAF risk group exhibited immunosuppressive features and worse prognosis. Patients with high CAF score were more likely to not respond to immune checkpoint inhibitors but were more sensitive to some chemotherapeutic agents, suggesting a potential approach of chemotherapy/anti‐CAF combination treatment to improve the SKCM patient response rate of current immunotherapies.ConclusionsThe CAF‐related risk score could serve as a robust prognostic indicator and personal assessment of this score could uncover the degree of immunosuppression and provide treatment strategies to improve outcomes in clinical decision‐making in SKCM patients.
Ultrafast 30‐min infusion of a rituximab biosimilar (Truxima)
Authors: Pérez‐Persona Ernesto , Cuevas Palomares Laida , Unamunzaga Cilaurren Ariane , Gutiérrez López de Ocáriz Xabier , Buendía Ureña Buenaventura , Vega González de Viñaspre Ana , Benito Ibarrondo Begoña , Molinillo Fernández María Carmen , Cordero Osúa Ana , Benítez Delgado Beatriz , García Albás Juan José , Andrés Moralejo Miguel Ángel , Guinea de Castro José María 
Published: October 2023

AbstractIn this clinical trial, we demonstrate that ultrarapid fast infusion of rituximab (Truxima) in 30 min with oral premedication is feasible and secure for patients, and reduce the day‐care hospital stays.
A comparison of Er,Cr:YSGG laser to minimally invasive surgical technique in the treatment of intrabony defects: Twelve‐month results of a multicenter, randomized, controlled study
Authors: Clem Donald , Heard Rick , McGuire Michael , Scheyer E. Todd , Richardson Chris , Toback Gregory , Gunsolley John C. , Geurs Nico 
Published: October 2023

AbstractBackgroundThe purpose of this publication is to report on the 12‐month clinical and radiographic results comparing the surgical use of the Er,Cr:YSGG laser (ERL) and minimally invasive surgical technique (MIST) for the treatment of intrabony defects in subjects with generalized periodontitis stage III, grade B.MethodsFifty‐three adult subjects (29 females and 24 males; 19–73 years) with 79 intrabony defects were randomized following scaling and root planing (SRP) to receive ERL monotherapy (n = 27) or MIST (n = 26). Fifty subjects completed the study. Recession (REC), probing depth (PD), clinical attachment level (CAL), treatment time, and standardized radiographs were assessed and compared for each treatment group. Clinical measurements were recorded at baseline, 4–6 weeks following SRP, and 6 and 12 months following surgical therapy. Radiographic results were compared to baseline at 6 and 12 months following surgical therapy.ResultsThe following primary and secondary outcome variables were non‐inferior with the following margins: CAL with a non‐inferiority margin of 0.7 mm (p = 0.05), PD with a non‐inferiority margin of 0.7 mm (p = 0.05), and REC with a non‐inferiority margin of 0.4 mm (p = 0.05). Standardized radiographs suggest similar bone fill of 1.14 ± 1.73 mm for MIST and 1.12 ± 1.52 mm for ERL.ConclusionsThis is the first multicenter, randomized, masked, and controlled study demonstrating the ERL is not inferior to MIST at 12 months in terms of clinical outcomes and similar to MIST in terms of radiographic bone fill for the surgical treatment of intrabony defects.
A framework to characterise the reproducibility of meta‐analysis results with its application to direct oral anticoagulants in the acute treatment of venous thromboembolism
Authors: Chapelle Céline , Le Teuff Gwénaël , Zufferey Paul Jacques , Laporte Silvy , Ollier Edouard 
Published: October 2023

AbstractThe number of meta‐analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy‐to‐use, and specialised statistical software. Even when meta‐analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the replication of meta‐analysis provides an example of the variation of effect ‘naturally’ observed between multiple research projects. Reproducibility of results has mostly been reported using graphical descriptive representations. A quantitative analysis of such results would enable (i) breakdown of the total observed variability with quantification of the variability generated by the replication process and (ii) identification of which variables account for this variability, such as methodological quality or the statistical analysis procedures used. These variables might explain systematic mean differences between results and dispersion of the results. To quantitatively characterise the reproducibility of meta‐analysis results, a bivariate linear mixed‐effects model was developed to simulate both mean results and their corresponding uncertainty. Results were assigned to several replication groups, those assessing the same studies, outcomes, treatment indication and comparisons classified in the same replication group. A nested random effect structure was used to break down the total variability within each replication group and between these groups to enable calculation of an intragroup correlation coefficient and quantification of reproducibility. Determinants of variability were investigated by modelling both mean and variance parameters using covariates. The proposed model was applied to the example of meta‐analyses evaluating direct oral anticoagulants in the acute treatment of venous thromboembolism.
Microfluidized hemp protein isolate: an effective stabilizer for high‐internal‐phase emulsions with improved oxidative stability
Authors: Zhang Zhi‐hui , Zhang Guang‐yao , Huang Jia‐rong , Ge Ai‐yuan , Zhou Da‐yong , Tang Yue , Xu Xian‐bing , Song Liang 
Published: October 2023

AbstractBACKGROUNDHemp protein isolates (HPIs), which provide a well‐balanced profile of essential amino acids comparable to other high‐quality proteins, have recently garnered significant attention. However, the underutilized functional attributes of HPIs have constrained their potential commercial applications within the food and agriculture field. This study advocates the utilization of dynamic‐high‐pressure‐microfluidization (DHPM) for the production of stable high‐internal‐phase emulsions (HIPEs), offering an efficient approach to fully exploit the potential of HPI resources.RESULTSThe findings underscore the effectiveness of DHPM in producing HPI as a stabilizing agent for HIPEs with augmented antioxidant activity. Microfluidized HPI exhibited consistent adsorption and anchoring at the oil–water interface, resulting in the formation of a dense and compact layer. Concurrently, the compression of droplets within HIPEs gave rise to a polyhedral framework, conferring viscoelastic properties and a quasi‐solid behavior to the emulsion. Remarkably, HIPEs stabilized by microfluidized HPI demonstrated superior oxidative and storage stability, attributable to the establishment of an antioxidative barrier by microfluidized HPI particles.CONCLUSIONThis study presents an appealing approach for transforming liquid oils into solid‐like fats using HPI particles, all without the need for surfactants. HIPEs stabilized by microfluidized HPI particles hold promise as emerging food ingredients for the development of emulsion‐based formulations with enhanced oxidative stability, thereby finding application in the food and agricultural industries. © 2023 Society of Chemical Industry.
Diagnostic Implications of Ultrasound Evaluation in Patients With Shoulder Impingement Syndrome
Authors: Du Yiting , Wang Zhengtao , Zhang Tao , Liang Ying 
Published: October 2023

ObjectiveTo evaluate the diagnostic value of musculoskeletal ultrasound measurements of subacromial bursa (SAB) thickness, supraspinatus tendon (SUP) thickness, acromiohumeral distance (AHD), and SUP‐to‐AHD ratio (AHD%) in patients with shoulder impingement syndrome (SIS).MethodsThis was a prospective cross‐sectional observational study. Thirty patients with SIS (60 shoulders) admitted between January 2019 and January 2020 were enrolled. The SUP thickness, SAB thickness, AHD, and AHD% (calculated as AHD% = [(SUP / AHD) × 100%]) were measured in 60 shoulders using musculoskeletal ultrasound.ResultsThe affected shoulder displayed thicker SUP and SAB (t = 7.838), narrower AHD (t = 2.324), and larger AHD% (t = 6.875) than the unaffected shoulder (P < .05). The SUP thickness showed a linear positive correlation with AHD (r = .503) and AHD% (r = .792) in the affected shoulder (P < .05). On receiver operating characteristic analysis, AHD*AHD% showed the best diagnostic performance in both measurements (area under the curve: 0.877).ConclusionThis study revealed that SIS symptoms may be related to a larger AHD% with SUP thickening. As diagnostic criteria, the cut‐off values of AHD% (65.6%) and AHD*AHD% (0.504) have good sensitivity and specificity and can help improve the differential diagnosis of patients with SIS.