bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors affecting the quality of life of patients undergoing hematopoietic stem cell transplantation : Application of the Symptom Management Model
Authors: Jo Eunjin , Kim Sanghee , Lee Hyangkyu , Lee Seok 
Published: July 2022

Abstract
Based on symptom management model, to analyze the relationships among symptom experience, symptom management strategies, self-management behavior, and quality of life among patients undergoing hematopoietic stem cell transplantation(HSCT) in Korea and to identify factors affecting quality of life. Data of adult 67 patients of undergoing HSCT by convenience sampling at the university-affiliated hospital in Korea were analyzed. Using a self-reported structured questionnaire, date on symptom experience, symptom management strategies, self-management behavior, and quality of life were analyzed using Pearson’s correlation. Factor affecting quality of life were investigated using multiple regression analysis. Quality of life showed significant negative correlation with symptom experience and significant positive correlations with symptom management strategies Factors influencing the quality of life included distress of symptom experience, symptom management strategies, and self-management behavior and explained 39.4% of all such factors. To improve quality of life in patients undergoing HSCT, important to manage symptoms well for simultaneous symptoms in HSCT. So, providing tailored nursing intervention based on a patient-focused and person-centered care approach for HSCT patients.
New Entropy and Distance Measures for Fermatean Fuzzy Soft Sets with Medical Decision-Making and Pattern Recognition Applications
Authors: Kirişci Murat 
Published: July 2022

Abstract
In this paper, the defifinition of Fermatean fuzzy soft sets and some its proper ties are introduced. The Fermatean fuzzy soft sets are a parameterized family of Fermatean fuzzy soft sets. Fermatean fuzzy soft sets are a generalization of soft sets. Particularly, the basic properties and operations of Fermatean soft sets are given. Entropy and distance measures are defined for the Fermatean fuzzy soft sets. Further, we propose two algorithms to solve the decision-making problem and pattern recognition. Finally, illustrative examples are discussed to prove that they can be effectively used to solve problems with uncertainties.
Diversity of the soil faunal community in response to eighteen-year continuous crop straw return in upland purple soil
Authors: Xie Xiuhong , Wang Xuefeng , Dong Zhixin , Zhu Bo 
Published: July 2022

Abstract
Soil fauna play a key role in the soil food web and is an important index to evaluate the soil environment and ecosystem. Crop straw residue is recommended for application to agricultural fields to improve soil quality. However, the effects of continuous straw return on the soil faunal community remain unclear, and knowledge regarding purple soil is limited. Using the conserved cytochrome oxidase I (COI) gene fragment of eukaryotic cells as a molecular marker, we examined the responses of the soil faunal community to eighteen-year continuous straw return in upland purple soil of southwestern China, i.e., RSDN (crop residues plus synthetic nitrogen), RSDNP (crop residues returned with nitrogen and phosphorus) and RSDNPK (crop residues returned with nitrogen, phosphorus and potassium), and treatments without straw, i.e., N (synthetic N fertilizer) and NPK (synthetic fertilizer: nitrogen, phosphorus and potassium). Soil nematodes were also examined using traditional morphological methods, and the accuracy of the morphological and molecular methods in characterizing soil nematodes was compared. Our results showed that different fertilization treatments significantly changed the soil faunal community structure (Adonis test, R2 = 0.43, p = 0.011). According to LEfSe (linear discriminant analysis effect size), Lymnaeidae, Tetragnathidae, and Pyramidulidae et al. were associated with straw return, and Coryne, Corynidae, and Anthoathecata et al. were associated with phosphate addition. Diplopoda was associated with both straw and phosphate amendments. Straw return significantly increased the Margalef richness index (D) and species number (S), which were closely related to soil organic matter (SOM) and total phosphorus (TP) (p < 0.05). Structural equation model (SEM) analysis revealed that straw and phosphorus addition promoted the diversity and species number of soil fauna by changing soil SOM and AP (available phosphorus), respectively. These results highlighted that SOM and P were important factors that changed the soil faunal community and promoted diversity. Additionally, we found that both the traditional morphological approach and molecular method based on the COI gene had biases in characterizing the soil nematode community.
Heavy-load and low-load blood flow restricted resistance training increases Na/K-ATPase subunit but not ClC-1 expression in untrained human skeletal muscle
Authors: Wang Jakob , Rindom Emil , Groennebaek Thomas , Sieljacks Peter , Jakobsgaard Jesper Emil , Farup Jean , Vissing Kristian , Pedersen Thomas Holm , Paoli Frank Vincenzo 
Published: July 2022

Abstract
Contractile function of skeletal muscle relies on the ability of muscle fibers to trigger and propagate action potentials (APs). These electrical signals are created by transmembrane ion transport through ion channels and membrane transporter systems. In this regard, the Cl- ion channel 1 (ClC-1) and the Na+/K--ATPase (NKA) are central for maintaining ion homeostasis across the sarcolemma during repetitive AP firing inherent of intense contractile activity. Therefore, this randomized controlled trial (RCT) aimed to investigate the changes in ClC-1 and specific NKA subunit isoform expression in response to 6 weeks (18 training sessions) of heavy-load resistance exercise (HLRE) and low-load blood flow restricted resistance exercise (BFRRE), respectively. Also, the potential associations between protein expression and contractile performance were investigated. We show that muscle ClC-1 abundance was not affected by either exercise modality, whereas NKA subunit isoforms 𝛼2 and 𝛽1 increased appx. 80-90% with BFRRE (p<0.05) and 70-80% with HLRE (p<0.05). No differential impact between exercise modalities was observed. At baseline, ClC-1 protein expression correlated inversely with dynamic knee extensor strength (r=-0.365, p=0.04). No correlation was observed between NKA subunit content and contractile performance at baseline. However, training-induced changes in NKA 𝛼2 subunit (r=0.603, p<0.01) and 𝛽1 subunit (r=0.453, p<0.05) correlated with changes in maximal voluntary contraction. These results suggest that the initial adaptation to resistance exercise does not involve changes in ClC-1 abundance in untrained skeletal muscle.
RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma
Authors: Tu Qiu , Liu Xiuyun , Yao Xiaoqing , Li Ruixue , Liu Gaojing , Jiang Honglv , Li Kaiqin , Chen Qiongfang , Huang Xiaoyan , Chang Qing , Xu Guoqiang , Zhu Hong , Shi Peng , Zhao Bo 
Published: July 2022

Abstract
Background:
Severe hypoxia is a prominent character of pancreatic ductal adenocarcinoma (PDAC) microenvironment. In the process of gemcitabine based chemotherapy, PDAC cells are insulted from replication stresses co-induced by hypoxia and gemcitabine. However, PDAC cells get outstanding abilities to resist to such harsh conditions and keep proliferating, causing a major obstacle for current therapy. RETSAT (Retinol Saturase) is defined as a hypoxia convergent gene recently, with high expression in PDAC hypoxic sectors. This study aimed to explore the roles of RETSAT in replication stress resistance and hypoxia adaptation in PDAC cells, and decipher the underlying mechanism.
Methods:
The expression of RETSAT was examined in TCGA (The Cancer Genome Atlas), human pancreatic cancer microarray, clinical specimens and cell lines. Functions of RETSAT were studied by means of DNA fiber assay and comet assay in monolayer cultured PDAC cell lines, three dimensional spheroids, patient derived organoids and cell derived xenograft mouse models. Mechanism was investigated by using iPOND (isolate proteins on nascent DNA) combined with mass spectrometry, immunoprecipitation and immunoblotting.
Results:
First, we found the converse relationship of RETSAT expression and PDAC chemotherapy. That is, PDAC patients with high RETSAT expression correlated with poor survival, while ones holding low RETSAT expression were benefitted more in Gemcitabine based chemotherapy. Second, we identified RETSAT as a novel replication fork associated protein. HIF-1α signaling promotes RETSAT expression under hypoxia. Functionally, RETSAT promoted fork restarting under replication stress and maintained genomic stability. Third, we uncovered the interaction of RETSAT and R-loop unwinding helicase DDX39B. RETSAT detained DDX39B on forks to resolve R-loops, through which avoided fork damage and CHK1 initiated apoptosis. Targeting DDX39B using chemical CCT018159 sensitized PADC cells and organoids to gemcitabine induced apoptosis, highlighting the synergetic application of CCT018159 and gemcitabine in PDAC chemotherapy.
Conclusion:
This study identified RETSAT as a novel replication fork protein, which functions through interacting with DDX39B mediated R-loop clearance to promote fork restarting, leading to cellular resistance to replication stresses co-induced by tumor environmental hypoxia and gemcitabine in pancreatic ductal adenocarcinoma.
LncRNA-TBP mediates TATA-binding protein recruitment to regulate myogenesis and induce slow-twitch myofibers
Authors: Ma Manting , Cai Bolin , Zhou Zhen , Kong Shaofen , Zhang Jing , Xu Haiping , Zhang Xiquan , Nie Qinghua 
Published: July 2022

Abstract
Skeletal muscle is comprised of heterogeneous myofibers that differ in their physiological and metabolic parameters. Of these, slow-twitch (type I; oxidative) myofibers have more myoglobin, more mitochondria, and higher activity of oxidative metabolic enzymes compared to fast-twitch (type II; glycolytic) myofibers. In our previous study, we found a novel LncRNA-TBP (for “LncRNA directly binds TBP transcription factor”) is specifically enriched in the soleus (which has a higher proportion of slow myofibers). Here, functional studies demonstrated that LncRNA-TBP inhibits myoblast proliferation but promotes myogenic differentiation in vitro. In vivo, LncRNA-TBP reduces fat deposition, activating slow-twitch muscle phenotype and inducing muscle hypertrophy. Mechanistically, LncRNA-TBP acts as a regulatory RNA that directly interacts with TBP protein to regulate the transcriptional activity of TBP-target genes (such as KLF4, GPI, TNNI2, and CDKN1A). Our findings conceivably indicated that LncRNA-TBP, as a novel regulator of muscle development, might function in myogenesis and muscle fiber transformation.
Problems of China's global demonstration tourism cities: Case Study of Liyang, China
Authors: Wu Haoqi , Chen Zhenan , Yan Jun , Tang Xiaolan 
Published: July 2022

Abstract
Sustainable tourism can bring economic development and social benefits to tourism cities. At present, Global tourism is the leading urban tourism development model in China, and the Global tourism demonstration cities is tended to be used as a role model for urban tourism development, however, the existing research is mostly focused on the theoretical level, and it is unclear whether such cities actually achieve sustainable development on a realistic level. This study selects the first demonstration cities of Global tourism in China, and conducts a coupling analysis by using multi-source big data, clustering algorithm models, and regional tourism flow distribution characteristics etc. to explore whether the demonstration cities have achieved sustainable tourism. The following results can be drawn from the analysis results. Firstly, the clustering algorithm coupled model study can provide a more accurate assessment of the current situation of regional tourism compared to the thermal values; secondly, the selected city do not meet the development requirements of sustainable tourism and are in urgent need of improvement. The overarching contribution of this study is to propose a quantitative and replicable framework for urban tourism evaluation, combining spatial big data, computer algorithmic models and urban economics etc.; this study also extends the interpretation of Global tourism cities, reminds scholars and urban planners not to underestimate the possible tourism unsustainability of all-area tourism cities, and provides theoretical support for future tourism construction and urban planning development in China.
Impacts of E-commerce on Shopping Trips for Non-grocery Experience Goods
Authors: Titiloye Ibukun , Sarker md Al Adib , Asgari Hamidreza , Jin Xia , Watts Brian 
Published: July 2022

Abstract
The rise in e-commerce adoption and decline in in-store shopping at the peak of the COVID-19 pandemic sparked optimism among researchers and transport planners on the potential of e-commerce in reducing shopping trips. However, fluctuations in consumers’ attitudes and shopping habits across the COVID-19 timeline add to the mix and necessitate an investigation into the travel effects of consumers’ evolving shopping behavior. In this regard, this study examines the interactions between the frequency of online shopping and shopping trips and the mediating effects of shoppers’ attitudes in early 2021. Over 2,000 Florida residents were surveyed to explore how various socio-economic, demographic and household characteristics, and attitudes influenced their shopping behavior for four types of non-grocery experience goods, namely clothing, shoes, watches, and jewelry (CSWJ); beauty and health products (BH); toys, kids, and baby supplies (TKB); home, garden, and tools (HGT). Structural equation models were developed to analyze their shopping patterns for each of the products, and results showed that the interactions between online and in-store purchase frequencies for CSWJ and TKB exhibited complementarity effects in both directions. For the other product types, online shopping had positive effects on in-store shopping frequency, but no effects were found in the reverse direction. Results also showed that personal attitudes played important roles in individuals’ shopping decisions, and there were significant mediating effects for a number of personal and household attributes. Tech savviness and the preferences toward alternative modes and online shopping benefits had direct positive influences on online shopping frequency, while the joy of shopping (i.e., shopping for leisure) and privacy and security concerns tended to increase in-store shopping frequency. Concerns regarding unattended delivery had negative impacts on online shopping frequency, while preferences toward the benefits of online shopping showed negative impacts on in-store shopping frequency. Based on these findings, the traffic implications of the expected higher delivery demand and passenger travel are discussed.
Prediction of fluid oil and gas volumes of shales based on a Deep Learning model and its application to the Bakken and Marcellus Shales
Authors: Şen Şami̇l 
Published: July 2022

Abstract
The fluid oil and gas volumes (S1) retained within the shales are one of the most important parameter of producible fluid oil and gas saturations of shales together with total organic carbon (TOC) content. The S1 can directly be obtained by Rock-Eval analysis. However, it is time consuming and not practical to obtain samples from all intervals of all wells in any shale play. Thus, S1 prediction with Deep Learning (DL) model has become increasingly important with the booming exploration and development of shale oil and gas resources. S1 is mainly controlled by organic matter richness, type, maturity and, mineralogical properties of the shales. A dataset of 331 samples from 19 wells of various locations of the world-class organic-rich shales of the Niobrara, Eagle Ford, Barnett, Haynesville, Woodford, Vaca Muerta and Dadaş has been used to deploy DL model for S1 prediction based on Python 3, Tensorflow and Keras. The DL model suggests that S1 of shales can be predicted as high as R2 =0,97 from the standard petroleum E&P activities. The DL model has successfully been applied to S1 prediction of the Bakken and Marcellus shales of the North America.
Quantitative regional cerebral blood flow measurement using near-infrared spectroscopy and indocyanine green in patients undergoing superficial temporal to middle cerebral artery bypass for moyamoya disease: a novel method using a frequency filter
Authors: Tsukinaga Akito , Yoshitani Kenji , Ozaki Takeo , Takahashi Jun C , Ogata Soshiro , Ohnishi Yoshihiko 
Published: July 2022

Abstract
Purpose
Measuring regional cerebral blood flow (rCBF) after revascularization for moyamoya disease, as a type of ischemic cerebrovascular disease, is crucial. This study aims to validate our novel technology that combines near-infrared spectroscopy (NIRS) with a frequency filter to extract the arterial component.
Methods
We measured rCBF before and after revascularization for moyamoya disease and at the end of the surgery using NIRO-200NX (Hamamatsu Photonics, Japan) and indocyanine green (ICG). rCBF was calculated using Fick’s principle, change in arterial ICG concentrations, and maximum arterial ICG concentration. rCBF measured with NIRS (rCBF_N) was compared with pre- and postoperative rCBF measured with SPECT (rCBF_S).
Results
Thirty-four procedures were analyzed. rCBF_N increased from baseline to end of the surgery (mean difference (MD), 2.99 ml/min/100 g; 95% confidence interval (CI), 0.40–5.57 ml/min/100 g on the diseased side; MD, 4.94 ml/min/100 g; 95% CI, 2.35–7.52 ml/min/100 g on the non-diseased side). Similar trends were observed for rCBF_S (MD, 3.98 ml/min/100 g; 95% CI, 2.30–5.67 ml/min/100 g on the diseased side; MD, 2.77 ml/min/100 g; 95% CI, 1.09–4.45 ml/min/100 g on the non-diseased side). Intraclass correlations 3 (ICC3s) between rCBF_N and rCBF_S were weak on the diseased side (ICC3, 0.25; 95% CI, -0.03–0.5; p = 0.07) and the non-diseased side (ICC3, 0.24; 95% CI, -0.05–0.5; p = 0.08).
Conclusions
rCBF measurements based on this novel method were weakly correlated with rCBF measurements with SPECT.
A combination of surface-initiated controlled radical polymerization (SET-LRP) and Click-Chemistry for the chemical modification and fluorescent labeling of Cellulose Nanofibrils: STED super-Resolution imaging of a Single fibril and a Single fibril embedded in a composite
Authors: Jiang Xuehe , Mietner J. Benedikt , Navarro Julien R. G. 
Published: July 2022

Abstract
A strategy is developed to modify cellulose nanofibril (CNF) surfaces with a combination of Cu0-mediated radical polymerization (SET-LRP) and CuI-catalyzed azide-alkyne click-chemistry (CuAAC). CNFs were grafted with statistical copolymers of di(ethylene glycol) ethyl ether acrylate (DEGEEA) and acrylic acid 3-trimethylsilyl-prop-2-ynyl ester (TMSPgA) that allows labeling of multiple fluorescent dyes, e.g. AF488 and ATTO633, special dyes for confocal laser scanning microscopy and stimulated emission depletion (STED) microscopy. Through our strategy and these microscopic techniques, we visualized isolated fibrils and fibrils embedded in a PVA composite in a high resolution. This work also provides new insight into the effect of the clickable entity/precursor on the compatibility of modified fibrils with the composite matrix.
Computational Study of Multi-Term Time-Fractional Differential Equations Using Cubic B-spline Finite Element Method
Authors: Arifeen Shams Ul , Haq Sirajul , Golkarmanesh Farhan 
Published: July 2022

Abstract
Fractional differential equations precisely measure and describe biological and physical processes because of the symmetry feature in nature. Multi-term time-fractional (MTTF) introduced for modeling of complex processes in different physical phenomena. This article introduces a numerical method based on Cubic B-spline (CBS) Finite element method (FEM) for solution of MTTF partial differential equations(PDEs). Finite difference method is combined with theta-weighted scheme and simple quadrature rules are used for time-fractional discretization while CBS FEM is employed for space approximation. In addition, four-point Gauss Legendre quadrature is applied to evaluate the source term. Stability of the proposed scheme is discussed by Von Neumann method which verifies that the scheme is unconditionally stable. L 2 and L ∞ norms are used to check efficiency and accuracy of the proposed scheme. Computed results are compared with the exact and available methods in literature which show betterment of the proposed method.
Global Ocean Salinity Measurements Have Some Serious Issues After 2015
Authors: Liu Chao , Liang Xinfeng , Ponte Rui , Chambers Don 
Published: July 2022

Abstract
Ocean salinity is essential for understanding changes in the climate system. Various gridded ocean salinity products, which are largely based on Argo measurements since the 2000s, have been created and used for climate-related studies. However, after 2015 a significant and unrealistic global salinification trend appears in most of the widely used global salinity products and disagreements between those products increase, both of which should be a concern for the climate community.
Synthesis of a Yeast-Derived Collagen
Authors: Chaturvedi Amogh , Zhang Noah , Challa Amrutha , Thontepu Trisha 
Published: July 2022

Abstract
Collagen is a triple-helical mammalian protein, prolific due to its high tensile strength. Collagen’s properties give it applications spanning cosmetics to biomaterials for regenerative medicine. Most collagen is harvested from bovine sources, but this derivation process is unethical and poses health concerns in arsenic poisoning and zoonotic diseases. We developed a new process of generating functional collagen-like protein. Scl, streptococcal collagen-like protein, is a bacterial protein that emulates mammalian collagen properties. The distinction between bacterial and mammalian collagen is the hydroxyproline post-translational mechanisms. Mammalian collagen requires this complex process for high tensile strength, whereas bacterial collagen does not. Thus, Scl2 possesses superiority in mass production while maintaining the qualities of a good biomaterial. Our results include DNA and protein gel verification of our Gibson assembly and lithium acetate transformation into yeast. We also present the results of extracting animal collagen to work on our proposed implementation of collagen hydrogels.