bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Fault Detection for Big Data Analytics Through Evolutionary Computation
Authors: P Jothi , Dwivedi Mona
Published: July 2022

Intelligent fault detection is promising to deal with big data due to its ability in rapidly and efficiently processing collected signals and providing accurate detection results. In traditional fault detection methods, however, the features are manually extracted depending on prior knowledge and diagnostic expertise, such processes take advantage of human ingenuity but are time-consuming. Inspired by the idea of unsupervised feature learning artificial intelligence techniques are used to learn features from the raw data. As the dimensionality increases, the accuracy of fault identification methods implemented on big data decreases significantly. For supervised learning, large volume of data is needed which leads to high cost and time consuming. In this paper, an unsupervised learning approach is proposed based on weighted softmax regression for fault detection using the power signals. Fault prediction has become an important subject in recent years, as it helps businesses to make significant savings in time and expense by offering successful methods for predictive maintenance. Pre-processing of data was a complicated job to overcome many problems with the dataset, including scale, sparsity, distortion, burst effects and confidence. As pre-monitor signals for failure did not share standard patterns, but were characterized only as non-normal system signals, a predictive error was made using outlier detection. Faults were explained by displaying system characteristics with abnormal values. An experimental assessment was conducted to determine the quality of the solution proposed. Results indicate that high-grade outliers provide successful markers of initial failures. In addition, explanations about irregular characteristic values (responsible for oversight) seem rather expressive. Based on the sliding window technique, the method to detect errors in high dimensional data streams is applied to an on-line mode. The online extension can be adapted to the time changing behaviour of the controlled system by experiments on synthetic datasets and is therefore applicable to the dynamic error detection. To assess the suggested strategy, we contrasted it with engineered data sets created utilizing the LOF (online expansion), SVDD, and KPCA approaches getting more than 90% result. The data exhibit our methodology's accomplishment as far as perfection, productivity, and strength.
Nasal transcriptome and epigenome analysis identifies the pathogenic features of aspirin-exacerbated respiratory disease
Authors: Ban Ga-Young , Kwon Eun-Kyung , Kang Tae-Wook Kang , Oh Taeyun , Choo Oak-Sung , Ye Young Min , Park Hae-Sim
Published: July 2022

Background
Dysregulation of the arachidonic acid metabolic pathway is the most widely known pathomechanism of AERD. We performed integrative analysis of transcriptomic and epigenomic profiling with network analysis to determine the novel pathogenic features of AERD.
Methods
Ten patients with asthma including 5 patients with AERD and another 5 patients with aspirin tolerant asthma (ATA) were enrolled. Nasal scraping was performed and nasal mucosa was used in omics profiling. Peripheral eosinophil counts, sputum eosinophil counts, FeNO levels, and pulmonary function test results were evaluated. Differentially expressed genes (DEGs), differentially methylated probes (DMPs) and differentially correlated genes (DCGs) between patients with AERD and those with ATA were analyzed. Network analysis using Ingenuity Pathway Analysis (IPA) was performed to determine the gene connection network and signaling pathways.
Results
In total, 1,736 DEGs, 1,401 DMPs, and 19 pairs for DCGs were identified. Among DCGs, genes related to vesicle transport (e.g. RAB3B and STX2) and sphingolipid dysregulation (e.g. SMPD3) were found to be hypo-methylated and up-regulated in AERD. Using the canonical pathway analysis of IPA with 78 asthma-related DEGs, signaling pathways of T helper cell differentiation/activation and Fcε receptor I were generated. Up-regulation of RORγt and FCER1A were noted in AERD. Gene expression levels of RAB3B, SYNE1, STX2, SMPD3 and RORγt significantly affected sputum eosinophil counts. Quantitative real-time PCR was performed and mRNA expression levels of STX2, SMPD3, and RORγt were significantly higher in AERD compared to ATA.
Conclusions
Distinct pathogenic features were identified by using integrative multi-omics data analysis in patients with AERD.
Efficacy of endoscopic gastrojejunal bypass in obese Yucatan pigs: a comparative animal study
Authors: Ouazzani Sohaib , Monino Laurent , Beyer-Berjot Laura , Garnier Emanuelle , Berdah Stéphane , Barthet Marc , Gonzalez Jean-Michel
Published: July 2022

Background
Natural orifice transluminal endoscopy surgery (NOTES) gastrojejunal anastomosis (GJA) with duodenal exclusion (DE) could be used as a less invasive alternative to surgical gastric bypass. The aim of this study was to compare the efficacy and safety of both methods for bariatric purpose.
Methods
This was a prospective, experimental and comparative study on obese living pigs, comparing 4 groups: GJA alone (group 1, G1), GJA + DE (group 2, G2), surgical gastric bypass (group 3, G3), control group (group 4, G4). GJA was endoscopically performed, using NOTES technic and LAMS, while DE was performed surgically for limb length selection. Animals were followed for 3 months. Primary outcome included technical success and weight evolution, while secondary endpoints included the rate of perioperative mortality and morbidity, histological anastomosis analysis and biological analysis.
Results
Technical success was 100% in each intervention groups. No death related to endoscopic procedures occurred in endoscopic groups, while early mortality (< 1 month) was 57,1% in surgical group, all due to anastomotic dehiscence. At 3 months, compared to baseline, mean weight evolution was + 3,1% in G1 (p = 0,46); -14,9% in G2 (p = 0,17); +5,6% in G3 (p = 0,38) and + 25% in G4 (p = 0,029). Histopathological analysis of endoscopic GJA showed complete fusion of different layers without leak or abscess.
Conclusions
Endoscopic GJA with DE provide the efficacy of bypass on weight control in animal model. Next steps consist of the development of devices to perform exclusively endoscopically limb length selection and DE.
Tailoring red-NIR luminescence in rare earth doped lead-free layered double perovskites by bivalent manganese energy bridge
Authors: Lin Jun , Dang Peipei , Zhang Guodong , Yang Wei , Lian Hongzhou , Li Guogang
Published: July 2022

Combining rare earth ions (RE3+) in halide perovskites is a hopeful strategy to produce interesting optical properties in visible and near-infrared (NIR) regions. Here, RE3+ (RE = Ho, Er, Tm, Nd) are successfully introduced into lead-free Cs4Mn1-wCdwBi2Cl12 (0 ≤ w ≤ 1) layered double perovskites through a facile hydrothermal method. Besides the strong orange-red Mn2+ emission, the as-prepared materials exhibit effective characteristic emission of RE3+ in the red and NIR region via constructing Mn2+ energy bridge. With Cd2+ gradually replacing Mn2+ in Cs4Mn1-wCdwBi2Cl12:RE3+, the photoluminescence (PL) of RE3+ in red and NIR range shows a decreased trend until it disappeared (w = 1). The energy transfer processes of [BiCl6]3-→Mn2+→RE3+ are confirmed and corresponding mechanism is explored. According to the manipulation of Mn2+/Cd2+ component, an evolution process from indirect to direct band gap is verified via a combined experimental–theoretical approach. White LEDs are fabricated by employing RE3+-doped Cs4MnBi2Cl12 on near-ultraviolet (n-UV) LED chips, achieving an improved color rendering index (CRI) from 83.3 to 93.0 compared to parent compound. Co-doping RE3+ (RE = Ho, Er, Tm, Nd) into Cs4MnBi2Cl12 shows a wide range of full-spectral emission covering the NIR I and NIR II regions, showing great potential for NIR detection applications.
“If people are hesitant at all, you just want a really big front door”: A qualitative interview study on the Luton COVID-19 vaccination outreach clinics
Authors: Logue Martin , Haylock Catherine , Scarborough Ciceley , Mackenzie Joanna
Published: July 2022

Background
There is a lack of evidence on the usefulness, practicality, and acceptance of vaccination outreach clinics in the community especially during pandemics. In this qualitative study, we explored the experiences, motivations and perceptions of service users, health professionals, strategic staff, volunteers, and community workers involved in the COVID-19 vaccination outreach clinics in Luton.
Methods
Semi structured face to face, telephone, online interviews, and focus groups were conducted with 31 participants including health professionals, strategic staff, volunteers, community workers and service users. The framework method was used to analyse the data and generate themes.
Results
Service users expressed positivity towards the convenience and familiarity of the location of the vaccination outreach clinics and the flexibility of receiving the vaccination in a local setting. Participants involved in the planning and delivery of the service commented on the worthwhile and rewarding experience but suggested more attention should be given to preparation time, service user recruitment, the working environment, and staff welfare.
Conclusions
The COVID-19 mobile vaccination outreach clinics in Luton tested and developed a different model of service delivery and demonstrated a collaborative way of working: “taking the health service to the patient, not the patient to the health service”. Planning and local community engagement were seen as key to successful delivery of a mobile healthcare service.
Osimertinib induces paraptosis
and TRIP13 confers resistance
in glioblastoma cells
Authors: meng songshu , hu lulu , shi ji , Shen Dachuan , Zhai Xingyue , Liang Dapeng , Wang Jing , Xie Chunrui , Xia Zhiyu , Cui Jing , Liu Feng , Du Sha , Piao Haozhe
Published: July 2022

Osimertinib is a third-generation epidermal growth factor receptor tyrosine kinase inhibitor that has been evaluated in glioblastoma (GBM) in pre-clinical and clinical trials. However, the precise mechanism whereby Osimertinib induces GBM cell death as well as the underlying resistance mechanism to Osimertinibremain unclear. Here we show that Osimertinib induced paraptosis in GBM cells as evidenced by the formation of cytoplasmic vacuoles, accumulation of ubiquitinated proteins, and upregulation of endoplasmic reticulum (ER) stress markers like CHOP. In addition, apoptosis or autophagy was not responsible for Osimertinib-induced cell death. RNA-seq analysis revealed that ER stress was the mostly deregulated pathway upon Osimertinib exposure. Consistently, pharmacologically targeting the PERK-eIF2α axis impaired Osimertinib-induced paraptosis. Noteworthy, we show that the expression of thyroid receptor-interacting protein 13 (TRIP13), an AAA+ATPase, alleviated Osimertinib-triggered paraptosis, thus conferring resistance. Intriguingly, an AKT inhibitor MK-2206 downregulated TRIP13 abundance and synergized with Osimertinib to suppress TRIP13-high GBM cell growth in vitro and in vivo. Thus, this study reveals a novel mechanism of action associated with the anti-GBM effects of Osimertinib, which involves ER stress-regulated paraptosis. Furthermore, we identify a TRIP13-driven resistance mechanism against Osimeritinib in GBM and offer a MK-2206-based combination strategy to overcome such resistance.
Genetically-Informed Prediction of Short-Term Parkinson’s Disease Progression
Authors: Torkamani Ali , Sadaei Hossein , Chen Shang-Fu , Wineinger Nathan , Dias Raquel , Cordova-Palomera Also , Lee Jonghun , Padmanabhan Jaya , Prilutsky Daria , Szalma Sandor
Published: July 2022

Background: Parkinson’s disease (PD) treatments modify disease symptoms but do not halt progression, characterized by slow and varied motor and non-motor changes overtime. Variation in PD progression hampers clinical research, resulting in long and expensive clinical trials prone to failure.Objective: Development of models for short-term PD progression prediction, which could be useful for informing individual-level disease management, and shortening the time required to detect disease-modifying drug effects in clinical studies.Methods: PD progressors were defined by an increase in MDS-UPDRS scores at 12-, 24-, and 36- months post-baseline. Using only baseline features, PD progression was separately predicted across all timepoints and MDS-UPDRS subparts in an optimized XGBoost framework. These predictions were combined into a meta-predictor for 12-month MDS UPDRS Total progression. Data from the Parkinson's Progression Markers Initiative (PPMI) were used for training with independent testing on the Parkinson's Disease Biomarkers Program (PDBP) cohort.Results: 12-month PD total progression was predicted with an F-measure 0.77, ROC AUC of 0.77, and PR AUC of 0.76 when tested on a hold-out PPMI set. When tested on PDBP we achieve a F-measure 0.75, ROC AUC of 0.74, and PR AUC of 0.73. Exclusion of genetic predictors led to the greatest loss in predictive accuracy; ROC AUC of 0.66, PR AUC of 0.66-0.68 for both PPMI and PDBP testing.Conclusions: Short-term PD progression can be predicted with a combination of survey-based, neuroimaging, physician examination, and genetic predictors. Dissection of the interplay between genetic risk, motor symptoms, non-motor symptoms, and longer-term expected rates of progression enable generalizable predictions.
Extracellular signal-Regulated Kinase 5 (ERK5) is required for the Yes-associated protein (YAP) co-transcriptional activity
Authors: Marchetti Alessandra , Ippolito Francesca , Consalvi Veronica , Noce Valeria , Battistelli Cecilia , Cicchini Carla , Tripodi Marco , Amicone Laura
Published: July 2022

YES-associated protein (YAP) is a transcriptional cofactor with a key role in the regulation of several cellular processes, including proliferation, differentiation and epithelial-to-mesenchymal transition (EMT), by integrating multiple cell autonomous and microenvironmental cues. YAP overexpression was found in different types of human cancer where it is associated with the acquisition of stemness properties, chemoresistance, increased cell proliferation and survival, metastasis and, ultimately, poor prognosis. YAP is the main downstream effector of the Hippo pathway, a tumor suppressive signaling able to transduce several extracellular signals. The Hippo pathway acts restraining YAP activity, since its activation induces YAP phosphorylation and cytoplasmic sequestration. However, recent observations indicate that YAP activity can be also modulated by Hippo independent/integrating pathways, still largely unexplored. In this study, we demonstrated the role of the extracellular signal-regulated kinase 5 (ERK5)/mitogen-activated protein kinase in the regulation of YAP activity. By means of ERK5 inhibition/silencing and overexpression experiments, and by using as model liver stem cells, hepatocytes and hepatocellular carcinoma (HCC) cell lines, we provided evidence that ERK5 is required for YAP-dependent gene expression. Mechanistically, ERK5 controls the recruitment of YAP on promoters of target genes and its physical interaction with the transcriptional partner TEAD; moreover, it mediates the YAP activation occurring in cell adhesion, migration and TGFβ-induced EMT of liver cells. Furthermore, we demonstrated that ERK5 signaling modulates YAP activity in a LATS1/2-independent manner. Therefore, our observations identify ERK5 as a novel upstream Hippo-independent regulator of YAP activity, thus unveiling a new target for therapeutic approaches aimed at interfering with its function.
Evaluation of potential neuroprotective effects of Vanillin against MPP+/MPTP-induced dysregulation of dopaminergic regulatory mechanisms in SH-SY5Y cells and Parkinson's disease mice model
Authors: Rani Linchi , Ghosh Balaram , Ahmad Mir Hilal , Mondal Amal Chandra
Published: July 2022

Parkinson's disease (PD) is a progressive neurodegenerative condition. The pathogenesis of PD is still unknown, and drugs available for PD treatment either have side effects or suboptimal efficacy. Flavonoids are potent antioxidants having little toxicity with extended use, suggesting they might hold promising therapeutic potential against PD. Vanillin (Van), a phenolic compound that has exhibited neuroprotective properties in various neurological disorders, including PD. However, the neuroprotective role of Van in PD and its underlying mechanisms are scarce and therefore need more exploration. Here, we evaluated the neuroprotective potential of Van and its associated mechanisms against MPP + /MPTP-induced neuronal loss in differentiated human neuroblastoma (SH-SY5Y) cells and PD mice model. In the present study, Van treatment significantly enhances the cell viability, alleviates oxidative stress, mitochondrial membrane potential and apoptosis in MPP + -intoxicated SH-SY5Y cells. Moreover, Van significantly ameliorated the MPP + -induced dysregulations in protein expression of tyrosine hydroxylase (TH) and mRNA expressions of GSK-3β, PARP1, p53, Bcl-2, Bax and Caspase-3 genes in SH-SY5Y cells. Similar to our in vitro results, Van significantly alleviated MPTP-induced neurobehavioral dysregulations, oxidative stress, aberrant TH protein expressions and immunoreactivity in SNpc of mice brains. Treatment of Van also prevented MPTP-mediated loss of TH-positive dopaminergic neurons intrinsic to SNpc and TH-fibers projecting to the striatum of mice. Thus, Van exhibited promising neuroprotective properties in the current study against MPP + /MPTP-intoxicated SH-SY5Y cells and mice, indicating its potential therapeutic properties against PD pathology.
Comparative hydrodynamic characterisation of two hydroxylated polymers based on α-pinene- or oleic acid-derived monomers for potential use as archaeological consolidants
Authors: Cutajar Michelle , Machado Fabricio , Crucitti Valentina Cuzzucoli , Braovac Susan , Stockman Robert A. , Howdle Steven M. , Harding Stephen E.
Published: July 2022

The Oseberg Viking ship burial is one of the most extensive collections of Viking wooden artefacts ever excavated in Norway. In the early 20th century, many of these artefacts were treated with alum in order to preserve them, inadvertently leading to their current degraded state. It is therefore crucial to develop new bioinspired polymers which could be used to conserve these artefacts and prevent further disintegration. Two hydroxylated polymers were synthesised (TPA6 and TPA7), using α-pinene- and oleic acid-derived monomers functionalised with an acrylate moiety. Characterisation using biomolecular hydrodynamics (analytical ultracentrifugation and high precision viscometry) has shown that these polymers have properties which would potentially make them good wood consolidants. Conformation analyses with the viscosity increment (ν) universal hydrodynamic parameter and ELLIPS1 software showed that they both polymers extended conformations, facilitating in-situ networking when applied to wood. SEDFIT-MSTAR analyses of sedimentation equilibrium data indicates a weight average molar mass Mw of (3.9 ± 0.8) kDa and (4.2 ± 0.2) kDa for TPA6 and TPA7 respectively. Analyses with SEDFIT (sedimentation velocity) and MultiSig however revealed that TPA7 had a much greater homogeneity and a lower proportion of aggregation. These studies suggest that both these polymers – particularly TPA7 - have characteristics suitable for wood consolidation, such as an optimal molar mass, conformation and a hydroxylated nature, making them interesting leads for further research.
Do Government Policies drive institutional preferences on green investment? Evidence from China
Authors: Yang Wu-E , Lai Pei-Wen , Han Zhi-Qiu , Tang Zhen-Peng
Published: July 2022

To improve the guiding role of institutional investors in green investment and provide financial support for green enterprises, Chinese government has issued a series of policies to establish a green finance system. We use a difference-in-difference (DID) analysis to explore whether the implementation of policies could change institutional attitudes to environmental factors when making investment decisions. Considering the effect of investment horizon, we find long-term institutional investors have shown symmetric preferences on green investment, while short-term institutions are more affected by green finance policies. Additionally, we find the investment behavior of short-term institutions are highly associated with abnormal return triggered by the policy effect. Besides, the triple-difference (DDD) analysis further proves that the high level of environmental disclosure would expanse the effect of policies, but high quality of external auditors would reduce the policy effect. The finding would extend the studies of green investment in emerging markets and present new evidence about the policy effect on institutions’ preferences for green investment.
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

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

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

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

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

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.
Dynamic Economic Emission Dispatch and Peak Hour Demand Management by Integration of Renewable Energy Sources and Demand Response
Authors: Goyal Govind Rai , Vadhera Shelly
Published: July 2022

The authors have requested that this preprint be removed from Research Square.
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

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

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

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

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

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

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

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

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

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.
Consumer Motivation and Multilevel Marketing on Health Products
Authors: Oloveze Ambrose Ogbonna , Oteh Ogbonnaya Ukeh , Okonkwo Raphael Valentine Obodoechi , Chukwuoyims Kelvin , Ollawa Charles Chiatulamiro , Ugwu Paschal Anayochukwu , Ogbonna Chinweike
Published: July 2022

Multi Level Marketing (MLM) for healthcare product is one of the dramatic transformations that have emerged in contemporary times with varying behavioral responses. Its increasing acceptance in Nigeria is because people find it an alternative option to addressing diverse health concerns amidst other economic benefits. The study considered multilevel marketing in health with a key focus on the relationship between multilevel health products and continuance intention. Descriptive statistics and SEM statistical tool was employed in the analysis. This study therefore examines the issue of MLM and motivating factors and continued intention to engage in MLM in the health related product categories. An online survey was administered on 227 networkers of MLM in South-East, Nigeria. The data was analyzed using Structural Equation Modeling (SEM) and descriptive statistics. Result shows that Nature Renascence International (NRI), Longrich, and Norland are the major MLM brands. Other not popular brands are Edmark, Tianshi, AIM Global, Forever Living Products, Oriflame, and Neolife. However, the major challenge lies in getting down-liners / new people to register and be part of the MLM business. Analysis shows that wealth benefit is the major motivation to join an MLM despite the promises of health benefits. Specifically, wealth benefit is found to be significantly related to health benefit. The study also provides evidence that there is a nexus between wealth benefit and ethical concern. Also, wealth benefit has a significant effect on continued intention. The recommendation centers on policy-drive and regulation. An appropriate policy that addresses the establishment and operation of businesses that engages in MLM of health products is required. This is paramount in other to curtail unethical practices and sharp practices from MLM businesses. In addition, there is a need for proper regulation. The regulation is required to control the use of unprofessional healthcare personnel in counseling and prescribing health drugs as well as targeting issues of false claims.
Peculiarities of Satirical Reproduction of Travel Adventures in Regional Periodics
Authors: Mitchuk Olha , Kryvka Eleonora
Published: July 2022

The purpose of scientific research is to explore the leading genres of satire and humor, which reproduce travel adventures and which were distributed in the Rivne press in the 1950–80s of the twentieth century. It is determined that the satirical reproduction of travel adventures in the pages of regional periodicals took place. The diversity of topics of travel adventures was revealed on the example of the content of the Rivne region press, the dynamics of the appearance of these texts on the pages of the Rivne newspapers «Chervonyi prapor» and «Zmina» was traced. The most important components of travel in the regional information space, in particular, performed by the traveler-narrator are outlined. It was found that a significant influence on the content of the travel adventure is exerted by the researcher-promoter, clearly expressing his own position.
ATLAS results on charmonium production
Authors: Kartvelishvili Vato
Published: July 2022

An overview is given of the results on charmonium production obtained
by the ATLAS collaboration at the LHC. Recent preliminary measurements
covering prompt and non-prompt production of
J/\psiJ/ψ
and \psi(2S)ψ(2S)
states in the range of high transverse momenta from 60 to 360~GeV are
highlighted.