bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patients Experience Significant and Meaningful Changes in Self-Report of Function During the First 2 Weeks After an Ankle Sprain Injury: A Report From the Athletic Training Practice-Based Research Network
Authors: Lam Kenneth C. , Marshall Ashley N. , Holland Brandon , Bay R. Curtis , Wikstrom Erik A. , Snyder Valier Alison R. 
Published: August 2022

Context: Ankle sprains are common during sport participation and associated with long-term deficits in self-report of function. However, little is known of short-term changes in self-report of function following injury. The authors aimed to assess statistical and clinically meaningful changes in self-report of function, as measured by the Foot and Ankle Ability Measure (FAAM), during the first 2 weeks after an ankle sprain injury. Design: A retrospective analysis of electronic medical records. Methods: Eighty-eight patients, who were diagnosed with an ankle sprain injury by an athletic trainer, received usual care from an athletic trainer, and completed the FAAM during treatment at weeks 1 and 2 postinjury. The authors calculated the percentage of patients who reported clinically meaningful changes and used Wilcoxon signed-rank tests to compare differences in FAAM scores between time points. Results: Between weeks 1 and 2, significant differences were noted for the FAAM Activities of Daily Living (FAAM-ADL) (P < .001) and FAAM Sport (FAAM-Sport) (P < .001). At the patient level, 86.5% (64/74) and 85.2% (69/81) of patients reported changes that exceeded the minimal clinically important difference value for the FAAM-ADL and FAAM-Sport, respectively, between weeks 1 and 2. At week 2, 31.8% (28/88) and 47.7% (42/88) of patients reported a score below 90% on the FAAM-ADL and below 80% on the FAAM-Sport subscale, respectively. Also, 36.4% (32/88) and 25.0% (22/88) of patients reported a score of 100% on the FAAM-ADL and FAAM-Sport subscales, respectively, at week 2. Conclusions: Patients report statistically significant and meaningful improvements in self-report of function during the first 2 weeks following ankle sprain injury. However, almost half of patients still report deficits in sport function at 2 weeks postinjury. Patient-reported outcome measures such as the FAAM, can help capture the patient’s perception of function and inform patient care decisions. Research efforts should explore individual response patterns to treatment.
Supplemental Material: A 50 m.y. melting model for the rare metal–rich Koktokay pegmatite in the Chinese Altai: Implications from a newly identified Jurassic granite
Authors: Han Jinsheng , Chen Huayong , al. et 
Published: August 2022

<p>Table S1: Major-element (wt%) and trace-element (ppm) compositions of apatite from the granite apophysis and the Koktokay No. 3 pegmatite. Table S2: Major-element composition of columbite in the granite apophysis. Table S3: Major- and trace-element composition of micas in the granite apophysis. Table S4: Major (wt%) and trace (ppm) elements for the granite apophysis. Table S5: LA-ICP-MS U-Pb analytical results of columbites and apatites. Table S6: Whole-rock Sr-Nd-Hf isotopes of the granite apophysis in the Koktokay No. 3 pegmatite. Table S7: Multicollector LA-ICP-MS boron isotopes of tourmalines from the granite apophysis. Table S8: Compiled age data of magmatic-hydrothermal activity in the Koktokay No. 3 pegmatite. </p>
Bioprosthesis in aortic valve replacement: long-term inflammatory response and functionality
Authors: Saucedo-Orozco Huitzilihuitl , Vargas-Barron Jesus , Márquez-Velazco Ricardo , Farjat-Pasos Julio Iván , Martinez-Zavala Karla Susana , Jiménez-Rojas Valentin , Criales-Vera Sergio Andres , Arias-Godínez Jose Antonio , Fuentevilla-Alvarez Giovanni , Guarner-Lans Veronica , Perez-Torres Israel , Melendez-Ramirez Gabriela , Sanchez Perez Tomas Efrain , Soto Maria Elena 
Published: August 2022

BackgroundThe evaluation of long-term inflammatory response and function in postoperative patients with aortic valve replacement (AVR) deserves special analysis because it is important to try to prevent reoperation and improve durability and functionality of the prostheses. It is our objectiveMethodsIn this study, we included a cohort of patients with aortic valve damage treated by AVR with mechanical prosthesis, bio prosthesis and we included a control group.ResultsWe found that IL-4 and osteopontin levels were higher in patients with mechanical vs biological prostheses (p=0.01 and p=0.04, respectively), osteoprotegerin (OPG) levels were decreased (p=0.01), women had lower levels of ET-1 and IL-6, (p=0.02) (p=0.04), respectively. Patients older than 60 years had decreased levels of IL-1ß p<0.001) and a higher concentration of IL-4 p<0.05). IL-1ß, OPG and TNFα were higher in patients with less than 5 years of evolution vs more than 10 years (p=0.004, p=0.02 and p=0.03, respectively). Factors such as age, gender, prosthetic and elevated IL-1B and ET-1 levels are associated with valve dysfunction prosthetic. These results indicate that the inflammatory involvement present prior to valve replacement may be perpetuated by various factors in the long term.ConclusionsThe findings provide us with the opportunity to effectively treat patients with AVR in the postoperative period, which could prolong the functionality of the bio prostheses.Trial registration numberNCT04557345.
A Fine-grained View on Stable Many-to-one Matching Problems with Lower and Upper Quotas
Authors: Boehmer Niclas , Heeger Klaus 
Published: August 2022

In the NP-hard Hospital Residents problem with lower and upper quotas (

HR-Q
L
U

), the goal is to find a stable matching of residents to hospitals where the number of residents matched to a hospital is either between its lower and upper quota or zero. We analyze this problem from a parameterized complexity perspective using several natural parameters such as the number of hospitals and the number of residents. Moreover, answering an open question of Biró et al. [TCS 2010], we present an involved polynomial-time algorithm that finds a stable matching (if it exists) on instances with maximum lower quota two. Alongside

HR-Q
L
U

, we also consider two closely related models of independent interest, namely, the special case of

HR-Q
L
U

where each hospital has only a lower quota but no upper quota and the variation of

HR-Q
L
U

where hospitals do not have preferences over residents, which is also known as the House Allocation problem with lower and upper quotas. Last, we investigate the parameterized complexity of these three NP-hard problems when preferences may contain ties.
Expression of CD70 Modulates Nitric Oxide and Redox Status in Endothelial Cells
Authors: Pandey Arvind K. , Waldeck-Weiermair Markus , Wells Quinn S. , Xiao Wusheng , Yadav Shambhu , Eroglu Emrah , Michel Thomas , Loscalzo Joseph 
Published: August 2022

Background:
Endothelial dysfunction is a critical component in the pathogenesis of cardiovascular diseases and is closely associated with nitric oxide (NO) levels and oxidative stress. Here, we report on novel findings linking endothelial expression of CD70 (also known as CD27 ligand) with alterations in NO and reactive oxygen species.

Methods:

CD70 expression was genetically manipulated in human aortic and pulmonary artery endothelial cells. Intracellular NO and hydrogen peroxide (H
2
O
2
) were measured using genetically encoded biosensors, and cellular phenotypes were assessed.

Results:

An unbiased phenome-wide association study demonstrated that polymorphisms in CD70 associate with vascular phenotypes. Endothelial cells treated with CD70-directed short-interfering RNA demonstrated impaired wound closure, decreased agonist-stimulated NO levels, and reduced eNOS (endothelial nitric oxide synthase) protein. These changes were accompanied by reduced NO bioactivity, increased 3-nitrotyrosine levels, and a decrease in the eNOS binding partner heat shock protein 90. Following treatment with the thioredoxin inhibitor auranofin or with agonist histamine, intracellular H
2
O
2
levels increased up to 80% in the cytosol, plasmalemmal caveolae, and mitochondria. There was increased expression of NADPH oxidase 1 complex and gp91phox; expression of copper/zinc and manganese superoxide dismutases was also elevated. CD70 knockdown reduced levels of the H
2
O
2
scavenger catalase; by contrast, glutathione peroxidase 1 expression and activity were increased. CD70 overexpression enhanced endothelial wound closure, increased NO levels, and attenuated the reduction in eNOS mRNA induced by TNFα.

Conclusions:
Taken together, these data establish CD70 as a novel regulatory protein in endothelial NO and reactive oxygen species homeostasis, with implications for human vascular disease.
Effects of Objective and Perceived Social Isolation on Cardiovascular and Brain Health: A Scientific Statement From the American Heart Association
Authors: Cené Crystal W. , Beckie Theresa M. , Sims Mario , Suglia Shakira F. , Aggarwal Brooke , Moise Nathalie , Jiménez Monik C. , Gaye Bamba , McCullough Louise D. ,   the American Heart Association Social Determinants of Health Committee of the Council on Epidemiology and Prevention and Council on Quality of Care and Outcomes Research; Prevention Science Committee of the Council on Epidemiology and Prevention and Council on Cardiovascular and Stroke Nursing; Council on Arteriosclerosis, Thrombosis and Vascular Biology; and Stroke Council
Published: August 2022

Background
Social isolation, the relative absence of or infrequency of contact with different types of social relationships, and loneliness (perceived isolation) are associated with adverse health outcomes.

Objective
To review observational and intervention research that examines the impact of social isolation and loneliness on cardiovascular and brain health and discuss proposed mechanisms for observed associations.

Methods
We conducted a systematic scoping review of available research. We searched 4 databases, PubMed, PsycInfo, Cumulative Index of Nursing and Allied Health, and Scopus.

Findings
Evidence is most consistent for a direct association between social isolation, loneliness, and coronary heart disease and stroke mortality. However, data on the association between social isolation and loneliness with heart failure, dementia, and cognitive impairment are sparse and less robust. Few studies have empirically tested mediating pathways between social isolation, loneliness, and cardiovascular and brain health outcomes using appropriate methods for explanatory analyses. Notably, the effect estimates are small, and there may be unmeasured confounders of the associations. Research in groups that may be at higher risk or more vulnerable to the effects of social isolation is limited. We did not find any intervention studies that sought to reduce the adverse impact of social isolation or loneliness on cardiovascular or brain health outcomes.

Conclusions
Social isolation and loneliness are common and appear to be independent risk factors for worse cardiovascular and brain health; however, consistency of the associations varies by outcome. There is a need to develop, implement, and test interventions to improve cardiovascular and brain health for individuals who are socially isolated or lonely.
Coupling of the spatial distributions between sMRI and PET reveals the progression of Alzheimer’s disease
Authors: Zhao Kun , Lin Jiaji , Dyrba Martin , Wang Dong , Che Tongtong , Wu Haoyang , Wang Jingyu , Liu Yong , Li Shuyu 
Published: August 2022

Abstract
Amyloid-beta (Aβ) deposition and altered brain structure are the most relevant neuroimaging biomarkers for Alzheimer’s disease (AD). However, their spatial inconsistency was always confusing and misleading. Furthermore, the relationship between this spatial inconsistency and AD progression is unclear. The current study introduced a regional radiomics similarity network (R2SN) to map structural MRI and Aβ positron emission tomography (PET) images to study their cross-modal interregional coupling. A total of 790 participants (248 normal controls, 390 mild cognitive impaired patients, and 152 AD patients) with their structural MRI and PET images were studied. The results showed that global and regional R2SN coupling significantly decreased according to the severity of cognitive decline, from mild cognitive impairment to AD dementia. The global coupling patterns are discriminative between different APOE ε4, Aβ, and Tau subgroups. R2SN coupling was probed for relationships with neuropsychiatric measures and peripheral biomarkers. Kaplan–Meier analysis showed that lower global coupling scores could reveal worse clinical progression of dementia. The R2SN coupling scores derived from the coupling between Aβ and atrophy over individual brain regions could reflect the specific pathway of AD progression, which would be a reliable biomarker for AD.
Tracing the world’s timber: the status of scientific verification technologies for species and origin identification
Authors: Low Melita C. , Schmitz Nele , Boeschoten Laura E. , Cabezas José A. , Cramm Mathias , Haag Volker , Koch Gerald , Meyer-Sand Barbara R.V. , Paredes-Villanueva Kathelyn , Price Erin , Thornhill Andrew H. , Van Brusselen Jo , Zuidema Pieter A. , Deklerck Victor , Dormontt Eleanor E. , Shapcott Alison , Lowe Andrew J. 
Published: August 2022

Summary
Illegal logging and illegal timber trade is a global problem. Anatomical, genetic, and chemical techniques support illegal logging legislation by verifying the species and geographic origin of timber. In principle, these methods can be used to identify timber species and the origin of harvest, however, the availability of specific tests for important timber species is unclear. We review the status of these methods for the top 322 global priority timber taxa. Our results show that for species identification, reference data exist for 100% of taxa using wood anatomy, 86% using genetics, 41% for using DART TOFMS, and 6% using NIRS. For origin identification, data exist for 24% of taxa, with most studies applying genetic approaches (23%). No studies have developed forensic-ready tests for the global priority timber taxa. The review highlights that the current potential for identifying species is greater than for geographic origin and more research focused on determining the geographical origin of timber is required. Based on the current rate, it will take approx. 27 years to generate geographic data for all 322 priority taxa. Finally, we identify research opportunities to improve global timber tracing efforts. Our findings indicate more research is needed, and quickly so that scientific verification can support regulators to combat illegal logging.
Self-Commentary as Defensive Strategy in the Works of John Tzetzes (d. 1180 CE) and Abū al-ʿAlāʾ al-Maʿarrī (d. 1057 CE)
Authors: Blankinship Kevin , Pizzone Aglae 
Published: August 2022

Abstract
Premodern manuscript production was fluid. Books and papers freely changed hands, often against their authors’ wishes. In the absence of copyright laws, certain countermeasures arose. This study considers one of them: self-commentary, meaning an author’s explanations on his own works. The article deals with two cases of medieval self-commentary across linguistic and cultural boundaries: the Arabic author and rationalist Abū al-ʿAlāʾ al-Maʿarrī (d. 1057 CE), and the professional Byzantine littérateur John Tzetzes (d. 1180 CE). After an overview of their lives and works, with a focus on the key role of self-explanation, the article considers their respective manuscript cultures, which involved face-to-face educational settings that nonetheless permitted widespread copying. There follows a discussion of textual materiality, which reveals a mutual concern to avoid tampering or misinterpretation. Then, the article shows how both men tried to direct readers by exploiting language’s capacity for multiple meanings. The conclusion ponders the relevance of this study for problems posed by digital book technology.
Application of Deep Learning to Understanding ENSO Dynamics
Authors: Shin Na-Yeon , Ham Yoo-Geun , Kim Jeong-Hwan , Cho Minsu , Kug Jong-Seong 
Published: August 2022

Abstract
Many deep learning technologies have been applied to the Earth sciences. Nonetheless, the difficulty in interpreting deep learning results still prevents their applications to studies on climate dynamics. Here, we applied a convolutional neural network to understand El Niño–Southern Oscillation (ENSO) dynamics from long-term climate model simulations. The deep learning algorithm successfully predicted ENSO events with a high correlation skill (∼0.82) for a 9-month lead. For interpreting deep learning results beyond the prediction, we present a “contribution map” to estimate how much the grid box and variable contribute to the output and “contribution sensitivity” to estimate how much the output variable is changed to the small perturbation of the input variables. The contribution map and sensitivity are calculated by modifying the input variables to the pretrained deep learning, which is quite similar to the occlusion sensitivity. Based on the two methods, we identified three precursors of ENSO and investigated their physical processes with El Niño and La Niña development. In particular, it is suggested here that the roles of each precursor are asymmetric between El Niño and La Niña. Our results suggest that the contribution map and sensitivity are simple approaches but can be a powerful tool in understanding ENSO dynamics and they might be also applied to other climate phenomena.
Adaptive Blending of Probabilistic Precipitation Forecasts with Emphasis on Calibration and Temporal Forecast Consistency
Authors: Rempel Martin , Schaumann Peter , Hess Reinhold , Schmidt Volker , Blahak Ulrich 
Published: August 2022

Abstract
A wealth of forecasting models is available for operational weather forecasting. Their strengths often depend on the lead time considered, which generates the need for a seamless combination of different forecast methods. The combined and continuous products are made in order to retain or even enhance the forecast quality of the individual forecasts and to extend the lead time to potentially hazardous weather events. In this study, we further improve an artificial neural network–based combination model that was recently proposed in a previous paper. This model combines two initial precipitation ensemble forecasts and produces exceedance probabilities for a set of thresholds for hourly precipitation amounts. Both initial forecasts perform differently well for different lead times, whereas the combined forecast is calibrated and outperforms both initial forecasts with respect to various validation scores and for all considered lead times (from +1 to +6 h). Moreover, the robustness of the combination model is tested by applying it to a new dataset and by evaluating the spatial and temporal consistency of its forecasts. The changes proposed further improve the forecast quality and make it more useful for practical applications. Temporal consistency of the combined product is evaluated using a flip-flop index. It is shown that the combination provides a higher persistence with decreasing lead times compared to both input systems.
Corrected ERA5 Precipitation by Machine Learning Significantly Improved Flow Simulations for the Third Pole Basins
Authors: Sun He , Yao Tandong , Su Fengge , He Zhihua , Tang Guoqiang , Li Ning , Zheng Bowen , Huang Jingheng , Meng Fanchong , Ou Tinghai , Chen Deliang 
Published: August 2022

Abstract
Precipitation is one of the most important atmospheric inputs to hydrological models. However, existing precipitation datasets for the Third Pole (TP) basins show large discrepancies in precipitation magnitudes and spatiotemporal patterns, which poses a great challenge to hydrological simulations in the TP basins. In this study, a gridded (10 km × 10 km) daily precipitation dataset is constructed through a random-forest-based machine learning algorithm (RF algorithm) correction of the ERA5 precipitation estimates based on 940 gauges in 11 upper basins of TP for 1951–2020. The dataset is evaluated by gauge observations at point scale and is inversely evaluated by the Variable Infiltration Capacity (VIC) hydrological model linked with a glacier melt algorithm (VIC-Glacier). The corrected ERA5 (ERA5_cor) agrees well with gauge observations after eliminating the severe overestimation in the original ERA5 precipitation. The corrections greatly reduce the original ERA5 precipitation estimates by 10%–50% in 11 basins of the TP and present more details on precipitation spatial variability. The inverse hydrological model evaluation demonstrates the accuracy and rationality, and we provide an updated estimate of runoff components contribution to total runoff in seven upper basins in the TP based on the VIC-Glacier model simulations with the ERA5_cor precipitation. This study provides good precipitation estimates with high spatiotemporal resolution for 11 upper basins in the TP, which are expected to facilitate the hydrological modeling and prediction studies in this high mountainous region.

Significance Statement
The Third Pole (TP) is the source of water to the people living in the areas downstream. Precipitation is the key driver of the terrestrial hydrological cycle and the most important atmospheric input to land surface hydrological models. However, none of the current precipitation data are equally good for all the TP basins because of high variabilities in their magnitudes and spatiotemporal patterns, posing a great challenge to the hydrological simulation. Therefore, in this study, a gridded daily precipitation dataset (10 km × 10 km) is reconstructed through a random-forest-based machine learning algorithm correction of ERA5 precipitation estimates based on 940 gauges in 11 TP basins for 1951–2020. The data eliminate the severe overestimation of original ERA5 precipitation estimates and present more reasonable spatial variability, and also exhibit a high potential for hydrological application in the TP basins. This study provides long-term precipitation data for climate and hydrological studies and a reference for deriving precipitation in high mountainous regions with complex terrain and limited observations.
Global Observations of Rotary-With-Depth Shear Spectra
Authors: Waterhouse Amy F. , Hennon Tyler , Kunze Eric , MacKinnon Jennifer A. , Alford Matthew H. , Pinkel Robert , Simmons Harper , Whalen Caitlin B. , Fine Elizabeth C. , Klymak Jody , Hummon Julia M. 
Published: August 2022

Abstract
Internal waves are predominantly generated by winds, tide/topography interactions and balanced flow/topography interactions. Observations of vertical shear of horizontal velocity (uz, vz) from LADCP profiles conducted during GO-SHIP hydrographic surveys, as well as vessel-mounted sonars, are used to interpret these signals. Vertical directionality of intermediate-wavenumber [λz ~ 𝒪(100 m)] internal waves is inferred in this study from rotary-with-depth shears. Total shear variance and vertical asymmetry ratio (Ω), i.e. the normalized difference between downward- and upward-propagating intermediate wavenumber shear variance, where Ω > 0 (< 0) indicates excess downgoing (upgoing) shear variance, are calculated for three depth ranges: 200-600 m, 600 m to 1000 mab (meters above bottom), and below 1000 mab. Globally, downgoing (clockwise-with-depth in the northern hemisphere) exceeds upgoing (counterclockwise-with-depth in the northern hemisphere) shear variance by 30% in the upper 600 m of the water column (corresponding to the globally averaged asymmetry ratio of = 0.13), with a near-equal distribution below 600-m depth ( ~ 0). Downgoing shear variance in the upper water column dominates at all latitudes. There is no statistically significant correlation between the global distribution of Ω and internal wave generation, pointing to an important role for processes that re-distribute energy within the internal wave continuum on wavelengths of 𝒪(100 m).