bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivational Strategies Used by Exercise Professionals: A Latent Profile Analysis
Authors: Sánchez-Oliva David , Palmeira Antonio L. , Carraça Eliana V. , Teixeira Pedro J. , Markland David , Silva Marlene N. 
Published: June 2021

Background: Using self-determination theory as a framework, the aim of this study was 2-fold: (1) identify different profiles of motivational strategies used by exercise professionals and (2) examine associations of these motivational profiles with work-related variables: measures, perceived job pressures, need satisfaction/frustration, and perceived exercisers’ motivation. Methods: Participants were 366 exercise professionals (193 males; experience = 7.7 [5.8] y) currently working in health and fitness settings. Results: Latent profile analysis identified a 3-profile model: (1) most need-supportive and least controlling (NS+; n = 225), (2) less need-supportive and slightly controlling (NS−; n = 42), and (3) most controlling and slightly need-supportive (mixed; n = 99). Professionals working less than 20 hours per week, more experienced, and female were more likely to integrate NS+, which was also associated with higher levels of work-related need satisfaction and clients’ perceived self-determination, and lower levels of job pressures and need-frustration. Conversely, NS− displayed the most maladaptive pattern of associations. Conclusions: The present findings highlight the importance of analyzing the correlates of different professional profiles, namely to help health and fitness organizations to provide high-quality motivational practices within an appropriate environment both for professionals and clients.
A New Mass Burial of Cave Bears (Carnivora, Ursidae, Ursus kanivetz, Vereshchagin, 1973) from the Middle Urals
Authors: Kosintsev P. A. , Gimranov D. O. , Lavrov I. A. , Kisagulov A. V. 
Published: June 2021

Abstract
Remains of a cave bear were studied from a new locality in the Prokoshev Cave in the Middle Urals (58°13´ N, 58°12´ E). Bones from all regions of the skeleton are present, bones are intact and without traces of human or animal activity. They all belong to the cave bear (Ursus kanivetz Vereshchagin, 1973). An AMS radiocarbon date of 53 375 ± 765 BP, IGANAMS–8632, was obtained from an adult mandible. The bones belonged to at least 18 individuals, including 4 individuals aged about one year, 1 aged about two years, 1 aged about three years, and 12 individuals over four years of age. Three skulls belonged to males and seven skulls belonged to females. The analysis has shown that the taphonomic type of this locality is a “mass burial.” This is the first “mass burial” of the cave bear in the Urals, found in situ, untouched by humans.
Morphological Variability of Nitraria Species in Central and Southern Kazakhstan
Authors: Banaev E. V. , Tomoshevich M. A. , Ak-Lama T. A. 
Published: June 2021

Abstract
The variability of metric traits has been studied in 20 Kazakhstan populations of three Nitraria species (N. schoberi L., N. sibirica Pall., and N. komarovii Iljin & Lava ex Bobrov). According to the results, N. sibirica differs from N. schoberi and N. komarovii in small leaves, fruits, and seeds, as well as in the structural features of inflorescences and flowers. N. sibirica is characterized by a greater number of flowers per inflorescence (25–66 on average) than N. schoberi and N. komarovii (14–28 on average). Additionally, N. sibirica differs from N. schoberi by narrower (1.3×) petals and smaller anthers (1.46× in length and 1.2× in width) and pistils (1.25× in length and 1.44× in width). N. komarovii differs from N. schoberi by narrower leaves (1.7×). N. komarovii is characterized by relatively large (especially in width) size of anthers that, together with smaller petals, makes it possible to distinguish this species during flowering. Flowers of N. komarovii are bright yellow, while those in N. schoberi and N. sibirica are white and light purple, respectively. N. komarovii fruits are orange, pale red, or bright red. Fruits of N. schoberi and N. sibirica are dark burgundy and black, respectively. At the intraspecific level, most of the studied metric traits (except for the habitus of N. sibirica plants) are stable and do not depend on the 16 climatic parameters of plant habitats. At the same time, a number of morphological features have been revealed in N. sibirica plants from the Ili Depression. In these populations, N. sibirica plants form shrubs up to 1.8 m in height with a large (up to 90) number of flowers per inflorescence, large petals (3.5 mm in length and 2.2 mm in width on average), small (~0.6 mm) anthers, small (5–5.5 mm in length) fruits, and small (~4 mm in length) narrow ovate stones. These features indicate the ecological–geographical differentiation of N. sibirica under the extra-arid conditions of the stony desert of the depression and evidence a separate taxonomic rank of these populations.
Development and validation of a predictive algorithm for risk of dementia in the community setting
Authors: Fisher Stacey , Manuel Douglas G , Hsu Amy T , Bennett Carol , Tuna Meltem , Bader Eddeen Anan , Sequeira Yulric , Jessri Mahsa , Taljaard Monica , Anderson Geoffrey M , Tanuseputro Peter 
Published: June 2021

BackgroundMost dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year dementia risk in the community setting was developed.MethodsThe Dementia Population Risk Tool (DemPoRT) was derived using Ontario respondents to the Canadian Community Health Survey (survey years 2001 to 2012). Five-year incidence of physician-diagnosed dementia was ascertained by individual linkage to administrative healthcare databases and using a validated case ascertainment definition with follow-up to March 2017. Sex-specific proportional hazards regression models considering competing risk of death were developed using self-reported risk factors including information on socio-demographic characteristics, general and chronic health conditions, health behaviours and physical function.ResultsAmong 75 460 respondents included in the combined derivation and validation cohorts, there were 8448 cases of incident dementia in 348 677 person-years of follow-up (5-year cumulative incidence, men: 0.044, 95% CI: 0.042 to 0.047; women: 0.057, 95% CI: 0.055 to 0.060). The final full models each include 90 df (65 main effects and 25 interactions) and 28 predictors (8 continuous). The DemPoRT algorithm is discriminating (C-statistic in validation data: men 0.83 (95% CI: 0.81 to 0.85); women 0.83 (95% CI: 0.81 to 0.85)) and well-calibrated in a wide range of subgroups including behavioural risk exposure categories, socio-demographic groups and by diabetes and hypertension status.ConclusionsThis algorithm will support the development and evaluation of population-level dementia prevention strategies, support decision-making for population health and can be used by individuals or their clinicians for individual risk assessment.
Combination of radiation therapy, bempegaldesleukin, and checkpoint blockade eradicates advanced solid tumors and metastases in mice
Authors: Pieper Alexander A , Rakhmilevich Alexander L , Spiegelman Daniel V , Patel Ravi B , Birstler Jen , Jin Won Jong , Carlson Peter M , Charych Deborah H , Hank Jacquelyn A , Erbe Amy K , Overwijk Willem W , Morris Zachary S , Sondel Paul M 
Published: June 2021

BackgroundCurrent clinical trials are using radiation therapy (RT) to enhance an antitumor response elicited by high-dose interleukin (IL)-2 therapy or immune checkpoint blockade (ICB). Bempegaldesleukin (BEMPEG) is an investigational CD122-preferential IL-2 pathway agonist with prolonged in vivo half-life and preferential intratumoral expansion of T effector cells over T regulatory cells. BEMPEG has shown encouraging safety and efficacy in clinical trials when used in combination with PD-1 checkpoint blockade. In this study, we investigated the antitumor effect of local RT combined with BEMPEG in multiple immunologically ‘cold’ tumor models. Additionally, we asked if ICB could further enhance the local and distant antitumor effect of RT+BEMPEG in the setting of advanced solid tumors or metastatic disease.MethodsMice bearing flank tumors (B78 melanoma, 4T1 breast cancer, or MOC2 head and neck squamous cell carcinoma) were treated with combinations of RT and immunotherapy (including BEMPEG, high-dose IL-2, anti(α)-CTLA-4, and α-PD-L1). Mice bearing B78 flank tumors were injected intravenously with B16 melanoma cells to mimic metastatic disease and were subsequently treated with RT and/or immunotherapy. Tumor growth and survival were monitored. Peripheral T cells and tumor-infiltrating lymphocytes were assessed via flow cytometry.ResultsA cooperative antitumor effect was observed in all models when RT was combined with BEMPEG, and RT increased IL-2 receptor expression on peripheral T cells. This cooperative interaction was associated with increased IL-2 receptor expression on peripheral T cells following RT. In the B78 melanoma model, RT+BEMPEG resulted in complete tumor regression in the majority of mice with a single ~400 mm3tumor. This antitumor response was T-cell dependent and supported by long-lasting immune memory. Adding ICB to RT+BEMPEG strengthened the antitumor response and cured the majority of mice with a single ~1000 mm3B78 tumor. In models with disseminated metastasis (B78 primary with B16 metastasis, 4T1, and MOC2), the triple combination of RT, BEMPEG, and ICB significantly improved primary tumor response and survival.ConclusionThe combination of local RT, BEMPEG, and ICB cured mice with advanced, immunologically cold tumors and distant metastasis in a T cell-dependent manner, suggesting this triple combination warrants clinical testing.
Optimization of protein extraction and ELISA immunodetection from protein-based paint models with mesoporous silica nanoparticles and MCM41
Authors: Goyal Aditya Sandeep , Salvador Cátia , Mathe Carole , Candeias António , Caldeira Ana Teresa 
Published: June 2021

AbstractProtein-based biological materials such as albumin, casein and collagen are found in various cultural heritage (CH) artefacts. This study focuses on the study of protein binders from easel paintings media. Proteins have complex structures which are difficult to identify with non-invasive spectroscopic methods (FT-IR, Raman, UV). Immunoassays such as ELISA determine the protein’s source of origin which is necessary for art objects. To increase the detection and identification of proteins by immunoassays, the efficiency of micro-extraction of proteins from heritage materials is a crucial step. Extractions mediated by cycles of orbital agitation and ultrasonic radiation give the possibility to extract proteins from easel painting sample. In this work, protein-based paint models coupled with silica nanoparticles were used for micro-extraction. Nanoparticles possess high surface-to-volume ratios that can attach bioactive molecules such as proteins and increase the total protein recovered from microsamples. Protein extracts were quantified with Bradford Assay in the presence of Coomassie blue. The protein recovery results were statistically computed, and the SPSS analysis shows significant (p < 0.05) increase in protein recovery, above 1.3 times for NPSiO2 and above 1.6 times for MCM-41. The statistical data shows evidence that silica nanoparticles intensify the total protein recovered from paint microsamples. Finally, ELISA was realized on the protein extracts to verify and compare the immunodetection of protein from the paint models with and without the use of silica nanoparticles.
Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation
Authors: Wolf Frederik , Donner Reik V. 
Published: June 2021

AbstractIn the past years, there has been an increasing number of applications of functional climate networks to studying the spatio-temporal organization of heavy rainfall events or similar types of extreme behavior in some climate variable of interest. Nearly all existing studies have employed the concept of event synchronization (ES) to statistically measure similarity in the timing of events at different grid points. Recently, it has been pointed out that this measure can however lead to biases in the presence of events that are heavily clustered in time. Here, we present an analysis of the effects of event declustering on the resulting functional climate network properties describing spatio-temporal patterns of heavy rainfall events during the South American monsoon season based on ES and a conceptually similar method, event coincidence analysis (ECA). As examples for widely employed local (per-node) network characteristics of different type, we study the degree, local clustering coefficient and average link distance patterns, as well as their mutual interdependency, for three different values of the link density. Our results demonstrate that the link density can markedly affect the resulting spatial patterns. Specifically, we find the qualitative inversion of the degree pattern with rising link density in one of the studied settings. To our best knowledge, such crossover behavior has not been described before in event synchrony based networks. In addition, declustering relieves differences between ES and ECA based network properties in some measures while not in others. This underlines the need for a careful choice of the methodological settings in functional climate network studies of extreme events and associated interpretation of the obtained results, especially when higher-order network properties are considered.
Evaluation of the contributions of gold derived from hypogene, supergene and surficial processes in the formation of placer gold deposits
Authors: Chapman Rob J. , Craw Dave , Moles Norman Robert , Banks David Archibald , Grimshaw Matthew Russel 
Published: June 2021

Abstract
Placer gold particles have traditionally been considered as either detrital products of weathering or authigenic minerals growing within placers. Recent advances in understanding of gold chemistry/bio-geochemistry demonstrate that gold growth in specific environments is plausible, but opinions differ on the importance of ‘new’ gold in the overall placer inventory. Here we draw upon visual inspection over 40 000 polished gold particle sections from locations worldwide to evaluate the implications of gold alloy composition and particle heterogeneity in determining the contributions of detrital and authigenic gold to fluvial placers. We conclude that: (1) the detrital model of placer gold formation is widespread and demonstrable; (2) supergene gold may be a locally important constituent of fluvial placers; (3) gold-rich rims on placer gold particles comprise two distinct components – a surface micron-scale addition of pure Au and a tens-of-microns-scale inner rim formed by Ag depletion; and (4) the importance to placer inventories of gold particle formation and modification by biogenic processes is considerably overstated.
Identification and Validation of Autophagy-Related Gene Nomograms to Predict the Prognostic Value of Patients with Cervical Cancer
Authors: Jiang Jinqun , Xu HongYan , Wang YiHao , Lu Hai 
Published: June 2021

Autophagy is a process of engulfing one’s own cytoplasmic proteins or organelles and coating them into vesicles, fusing with lysosomes to form autophagic lysosomes, and degrading the contents it encapsulates. Increasing studies have shown that autophagy disorders are closely related to the occurrence of tumors. However, the prognostic role of autophagy genes in cervical cancer is still unclear. In this study, we constructed risk signatures of autophagy-related genes (ARGs) to predict the prognosis of cervical cancer. The expression profiles and clinical information of autophagy gene sets were downloaded from TCGA and GSE52903 queues as training and validation sets. The normal cervical tissue expression profile data from the UCSC XENA website (obtained from GTEx) were used as a supplement to the TCGA normal cervical tissue. Univariate COX regression analysis of 17 different autophagy genes was performed with the consensus approach. Tumor samples from TCGA were divided into six subtypes, and the clinical traits of the six subtypes had different distributions. Further absolute shrinkage and selection operator (LASSO) and multivariable COX regression yielded an autophagy genetic risk model consisting of eight genes. In the training set, the survival rate of the high-risk group was lower than that of the low-risk group (

p

< 0.0001). In the validation set, the AUC area of the receiver operating characteristic (ROC) curve was 0.772 for the training set and 0.889 for the verification set. We found that high and low risk scores were closely related to TNM stage (

p

< 0.05). The nomogram shows that the risk score combined with other indicators, such as G, T, M, and N, better predicts 1-, 3-, and 5-year survival rates. Decline curve analysis (DCA) shows that the risk model combined with other indicators produces better clinical efficacy. Immune cells with an enrichment score of 28 showed statistically significant differences related to high and low risk. GSEA enrichment analysis showed the main enrichment being in KRAS activation, genes defining epithelial and mesenchymal transition (EMT), raised in response to the low oxygen level (hypoxia) gene and NF-kB in response to TNF. These pathways are closely related to the occurrence of tumors. Our constructed autophagy risk signature may be a prognostic tool for cervical cancer.
PGC1α-Mediated Metabolic Reprogramming Drives the Stemness of Pancreatic Precursor Lesions
Authors: Nimmakayala Rama Krishna , Rauth Sanchita , Chirravuri Venkata Ramakanth , Marimuthu Saravanakumar , Nallasamy Palanisamy , Vengoji Raghupathy , Lele Subodh M. , Rachagani Satyanarayana , Mallya Kavita , Malafa Mokenge P. , Ponnusamy Moorthy P. , Batra Surinder K. 
Published: June 2021

Abstract

Purpose:
Metabolic reprogramming and cancer stem cells drive the aggressiveness of pancreatic ductal adenocarcinoma (PDAC). However, the metabolic and stemness programs of pancreatic precursor lesions (PPL), considered early PDAC development events, have not been thoroughly explored.

Experimental Design:
Meta-analyses using gene expression profile data from NCBI Gene Expression Omnibus and IHC on tissue microarrays (TMA) were performed. The following animal and cellular models were used: cerulean-induced KrasG12D; Pdx1 Cre (KC) acinar-to-ductal metaplasia (ADM) mice, KrasG12D; Smad4Loss; Pdx-1 Cre (KCSmad4−) intraductal papillary mucinous neoplasm (IPMN) mice, LGKC1 cell line derived from the doxycycline-inducible Gnas IPMN model, and human IPMN organoids. Flow cytometry, Seahorse extracellular flux analyzer, qRT-PCR, and sphere assay were used to analyze metabolic and stemness features. SR18292 was used to inhibit PGC1α, and short hairpin RNA was used to knockdown (KD) PGC1α.

Results:
The meta-analysis revealed a significant upregulation of specific stemness genes in ADM-mediated pancreatic intraepithelial neoplasms (PanIN) and IPMN. Meta- and TMA analyses followed by in vitro and in vivo validation revealed that ADM/PanIN exhibit increased PGC1α and oxidative phosphorylation (OXPhos) but reduced CPT1A. IPMN showed elevated PGC1α, fatty acid β-oxidation (FAO) gene expression, and FAO-OXPhos. PGC1α was co-overexpressed with its coactivator NRF1 in ADM/PanINs and with PPARγ in IPMN. PGC1α KD or SR18292 inhibited the specific metabolic and stemness features of PPLs and repressed IPMN organoid growth.

Conclusions:
ADM/PanINs and IPMNs show specific stemness signatures with unique metabolisms. Inhibition of PGC1α using SR18292 diminishes the specific stemness by targeting FAO-independent and FAO-dependent OXPhos of ADM/PanINs and IPMNs, respectively.
Excimer Laser Coronary Angioplasty in Coronary Lesions: Use and Safety From the NCDR/CATH PCI Registry
Authors: Sintek Marc , Coverstone Edward , Bach Richard , Zajarias Alan , Lasala John , Kurz Howard , Kennedy Kevin , Singh Jasvindar 
Published: June 2021

Background:
Excimer laser coronary angioplasty (ELCA) uses an ultraviolet laser catheter for the treatment of coronary artery disease. ELCA has been used for various coronary lesions, but current safety and frequency of use are unknown.

Methods:
We performed a retrospective, registry-based study of ELCA use during coronary interventions reported to the National Cardiovascular Data Registry/CATH percutaneous coronary intervention registry from 2009 to 2018 (n=6 043 596 total interventions evaluated). The primary safety end point was the combination of any perforation, dissection, tamponade, or death. ELCA use per 10 000 interventions was evaluated for the study duration. Subgroups of interest were identified including in-stent restenosis lesions, saphenous vein graft lesions, chronic total occlusions, and thrombotic lesions.

Results:

A total of 19 688 lesions were identified with ELCA use (0.3% of all lesions). The rate of ELCA use increased across the study period from 14 ELCAs performed per 10 000 interventions in 2009 to 70 ELCAs performed per 10 000 interventions in 2018. The primary safety end point occurred in 4.2% of lesions and was higher than in cases where no ELCA was used (3.0%
P
<0.001). After adjusting for baseline differences among the subgroups who received ELCA, the in-stent restenosis group had the lowest rate of complications (odds ratio, 0.51 [95% CI, 0.42–0.63]), followed by the saphenous vein graft group (odds ratio, 0.72 [95% CI, 0.5–1]). The chronic total occlusion group had a higher risk for complications (odds ratio, 2.01 [95% CI, 1.61–2.40]).

Conclusions:
The use of ELCA has remained low but has increased in recent years. Complications are significantly higher when ELCA is used, but this effect is variable with respect to lesion subtype. ELCA is frequently used to treat in-stent restenosis with a low risk of complication. ELCA use during chronic total occlusion interventions is associated with a 2-fold increased risk of complications. Together these findings provide guidance for lesion selection to optimize safety with ELCA use.