bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid Big Data Analytics and Industry 4.0 Approach for Projecting The Cycle Time Range
Authors: Chen Toly , Wang Yu Cheng 
Published: November 2021

Abstract
To enhance the effectiveness of projecting the cycle time range of a job in a factory, a hybrid big data analytics and Industry 4.0 (BD-I4) approach is proposed in this study. As a joint application of big data analytics and Industry 4.0, the BD-I4 approach is distinct from existing methods in this field. In the BD-I4 approach, first, each expert constructs a fuzzy deep neural network (FDNN) to project the cycle time range of a job, which is an application of big data analytics (i.e., deep learning). Subsequently, fuzzy weighted intersection (FWI) is applied to aggregate the cycle time ranges projected by experts to consider their unequal authority levels, which is an application of Industry 4.0 (i.e., artificial intelligence). After applying the BD-I4 approach to a real case, the experimental results showed that the proposed methodology improved the projection precision by up to 72%. This result implied that instead of relying on a single expert, seeking the collaboration among multiple experts may be more effective and efficient.
Long Noncoding RNA LINC00518 Contributes to Proliferation and Metastasis in Lung Adenocarcinoma via the miR-335-3p/CTHRC1 Axis
Authors: Shen Ruoyi , Cai Xin , Shen Dan , Zhang Ruochen , Zhang Weijie , Zhang Yang , Li Yue , Wang Anqi , Zeng Yuanyuan , Zhu Jianjie , Liu Zeyi , Huang Jian-an 
Published: November 2021

Abstract
Background

Recently, a considerable amount of researches had been published that in some human tumours long intergenic nonprotein coding RNA 518 (LINC00518) could promote cancer proliferation and metastasis.
Methods

To directly test the effects of LINC00518 in LUAD, we treated the A549 and H1299 cells. Quantitative real-time PCR (qRT-PCR), western blot, and immunohistochemical assays were used to detect the expression of genes. CCK-8, clonogenic assays, the wound healing, migration and invasion assays to investigate the proliferation and motility of cells. Flow cytometry was used to determine the cell cycle stage. Meanwhile, a lung carcinoma xenograft mouse model was used to investigate the in vivo effects.
Results

Here we found that LINC00518 levels were up-regulated in lung adenocarcinoma (LUAD) tissues, and aberrant LINC00518 levels were particularly associated with the poor prognosis of LUAD patients. LINC00518 functions as a ceRNA to regulate the cell proliferation and tumour growth of LUAD by regulating the cell cycle and focal adhesion signalling and might be a potential synergistic therapeutic target of the FAK-inhibitor VS-6063.
Conclusions

Thus, LINC00518 could do duty for a biomarker and potential therapeutic target in LUAD.
Treatment Failure of Venous Stenting With or Without Direct Oral Anticoagulants (DOAC) / Non-Vitamin K Oral Anticoagulants (NOACs) in Patients With Deep Vein Thrombosis (DVT) in Term of the Stent Patency: Protocol for a Systematic Review
Authors: Mohebbi Bahram , Moosavi Jamal , Ghadrdoost Behshid , Bayatian Ayatollah , Bakhshandeh Hooman , Besharat Sima , Keshtkar Abbas , Sadeghipour Parham 
Published: November 2021

Abstract
Background: Venous stenting plays a significant role in the treatment of acute deep vein thrombosis (DVT). But the adjuvant anti-coagulant therapy could also help to more successful patency rate. We hope to elucidate the differences in the patency rate of venous stenting with or without direct oral anticoagulants (DOAC) / non-vitamin K oral anticoagulants (NOACs). Methods: Studies that work on the stent patency rate in venous stent with or without DOAC / NOAC will be included. The primary studies (Cohort, case control, case-series or randomized/ non-randomized trials) will be included if the participants / patients have had acute or chronic DVT, with venous stenting (at least one study group or all of study subjects) who have received DOAC / NOAC agents. The stent patency rate should be reported in all of study subjects within a follow-up time, minimum for 1 year. We will perform an electronic search on published or in press articles, which have been published in MEDLINE / PubMed, Embase, the online Cochrane database, CENTRAL and searches of clinical trial registries: clinicalTrials.gov, EU Clinical Trials, ISRCTN registry, WHO network registry for trials. PROSPERO databases will be manually searched for protocols.After screening of the relevant articles, selection and data extraction will be conducted in duplicate and independently. Methodological quality of the selected studies will be assessed using the Newcastle Ottawa Scale (NOS) tool. We will use “Hazard Ratio” (HR) as the optimum Effect Size (ES) in this meta-analysis, otherwise we will use or calculate “Risk Ratio” (RR) or “Odds Ratio” (OR) ES measures as the selected study specific ES. Discussion: In this review, we hope to find the treatment failure/ success rate of venous stenting with or without DOAC / NOAC regards to the stent patency rate and will try to provide insights into the right choice of anti-coagulant therapy.Submitted to PROSPERO (20/9/2021): CRD42021274542
Efficient Eco-Friendly Nano-Extracted Gelatin as Biodegradable Packaging Material
Authors: Ibrahim Saber , Soliman Mohamed 
Published: November 2021

Abstract
Extracted gelatin from the waste of fresh and grilled chicken skin was used to prepare films as a biodegradable packaging material from solutions of various gelatin concentrations using a casting approach. The thermal behavior of extracted gelatins was investigated by differential scanning calorimetric. The particle size and zeta potential of dispersed nanoparticles of gelatins were measured by dynamic light scattering. The surface area of lyophilized gelatin nanoparticles was calculated from the adsorption of N2 gas. Mechanical properties, water vapor permeability (WVP), and oil uptake (OU) of all manufactured films were studied. Tensile strength values significantly increased for films manufactured from both gelatin sources when the concentration increased from 4 % to 6 % up to 5.1 MPa. The elongation of waste skin gelatin-based films was higher than waste grilled skin gelatin (WG)-based films using 4 % and 8 % concentrations up to 57 %. Films manufactured from WG had significantly lower WVP than waste skin gelatin (WS) analogous at a 4 % gelatin concentration. The WVP of films manufactured from gelatin significantly increased as gelatin concentration increased where OU showed higher oil resistance for films manufactured from WS up to 91 % using 4 % gelatin concentration. The morphological structure of the gelatin film was investigated with scanning electron microscopy (SEM). A homogenized and smooth film surface was observed. The percentage of heavy metal was examined by inductively coupled plasma (ICP). The results of this study showed that the films manufactured using higher concentrations of gelatin possessed promising mechanical properties, good barrier properties, and high safety as a recommended biopolymer packaging material for food contact and pharmaceutical applications.
Evolution of metamemory based on self-reference to own memory in artificial neural network with neuromodulation
Authors: Yamato Yusuke , Suzuki Reiji , Arita Takaya 
Published: November 2021

Abstract
The ability that is people’s self-monitoring and controlling of their memory processes is called metamemory. It has been regarded as truly unique characteristics of human memory, and has been studied widely as a component of metacognition in cognitive psychology. We aim to evolve artificial neural networks with neuromodulation, that have a metamemory function. Our constructive approach is based on the repetition of evolutionary experiments, analysis of the evolved networks, and refinement of the measure, to reduce the gap between the functional properties of behavior and human subjective reports of phenomenal experience. In this paper, we show the evolution of neural networks that have metamemory function based on the self-reference of memory, and analysis of the evolved mechanism of metamemory. We also discuss a similarity between the structure of the evolved neural network and the metamemory model defined by Nelson and Narens.
Analysis of Lymphocyte Profile in Lymph Nodes, Bronchoalveolar Lavage Fluid and Peripheral Blood in Patients With Stage II Sarcoidosis
Authors: Mi Song , Cui Na , Feng Xiaokai , Jiang Chunguo , Wang Jing , Zhang Liming 
Published: November 2021

Abstract
Background: The lymphocyte profile(LP) in mediastinal lymph nodes involved by sarcoidosis has not been extensively studied and the results in the literature were mixed.Methods: This was a prospective study of stage II sarcoidosis patients with intrathoracic lymphadenopathy underwent endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and bronchoalveolar lavage(BAL). LP in lymph node puncture fluid (LNPF),BAL fluid(BALF) and peripheral blood (PB) were evaluated using flow cytometry. The results of LP in PB,BALF and LNPF were compared. The relationship between respiratory symptoms and LP was preliminarily analyzed.Results: In this study, 16 cases of stage II sarcoidosis were diagnosed,11 with respiratory symptoms and 5 without. There was no correlation between LP in LNPF and BALF in all patients. Compared with the proportion of LP in BALF, in LNPF the lymphocytes and B cells increased, the T cells, CD4 , NK T cells and CD4/CD8 ratio decreased, and there was no difference between CD8 T cells and NK cells.Respiratory symptoms had no effect on LP in LNPF. T cells, CD4, CD8 T cells and CD4/CD8 ratio in BALF were correlated with respiratory symptoms, and there was significant difference between symptomatic group and asymptomatic group. Conclusion: The LP in LNPF were significantly different from those in BALF and not correlated with BALF and not with respiratory symptoms, mainly reflect the involvement of lymph nodes, which may be more conducive to the diagnosis and differential diagnosis of sarcoidosis with lymph nodes involved. T cells, CD4 T cells and CD4/CD8 ratio in BALF were positively correlated with respiratory symptoms, while CD8 in BALF and PB was negatively correlated with respiratory symptoms. These indexes may more accurately reflect the pulmonary involvement of sarcoidosis.
Comprehensive Validation of a Wearable Foot Sensor System for Estimating Spatiotemporal Gait Parameters by Simultaneous Three-Dimensional Optical Motion Analysis
Authors: Homan Kentaro , Yamamoto Keizo , Kadoya Ken , Ishida Naoki , Iwasaki Norimasa 
Published: November 2021

Abstract
Background
Use of a wearable gait analysis system (WGAS) is becoming common when conducting gait analysis studies due to its versatility. At the same time, its versatility raises a concern about its accuracy, because its calculations rely on assumptions embedded in its algorithms. The purpose of the present study was to validate all spatiotemporal gait parameters calculated by the WGAS by comparison with simultaneous measurements taken with an optical motion capture system (OMCS).
Methods
Ten young healthy volunteers wore two inertial sensors of the commercially available WGAS, Physilog®, on their feet and 23 markers for the OMCS on the lower part of the body. The participants performed at least three sets of 10-m walk tests at their self-paced speed in the laboratory equipped with 12 high-speed digital cameras with embedded force plates. To measure repeatability, all participants returned for a second day of testing within two weeks.
Results
All gait parameters calculated by the WGAS had a significant correlation with the ones determined by the OMCS. Bland and Altman analysis showed that the between-device agreement for all gait parameters was within clinically acceptable limits. The validity of the gait parameters generated by the WGAS was found to be excellent except for two parameters, swing width and maximal heel clearance. The repeatability of the WGAS was excellent when measured between sessions.
Conclusion
The present study showed that spatiotemporal gait parameters estimated by the WGAS were reasonably accurate and repeatable in healthy young adults, providing a scientific basis for applying this system to clinical studies.
Triglyceride/low-Density-Lipoprotein Cholesterol (TG/LDL-C) Ratio is the Most Diagnostically Valuable Predictor for Increased Small, Dense LDL in Type 2 Diabetes Patients
Authors: Ouchi Gen , Komiya Ichiro , Taira Shinichiro , Wakugami Tamio , Ohya Yusuke 
Published: November 2021

Abstract
Background: Small, dense low-density lipoprotein (sd-LDL) increases in type 2 diabetes patients and causes arteriosclerosis. Non–high-density-lipoprotein cholesterol (HDL-C) is thought to be useful for predicting arteriosclerosis and sd-LDL elevation; however, there are no data about whether the triglyceride (TG)/low-density-lipoprotein cholesterol (LDL-C) ratio is a valuable predictor for sd-LDL.Methods: One hundred and ten type 2 diabetes patients with hypertriglyceridemia were analyzed. No patients were treated with fibrates, but forty-seven patients were treated with statins. LDL-C was measured by the direct method. LDL-migration index (LDL-MI) using electrophoresis (polyacrylamide gel, PAG) was calculated, and the value ≥ 0.400 was determined to indicate an increase in sd-LDL. Simple regression analyses were carried out between LDL-MI and lipid markers. Receiver operating characteristic curves of lipid markers for predicting high LDL-MI were applied to determine the area under the curve (AUC).Results: LDL-MI correlated negatively with LDL-C (P = 0.0027) and LDL fraction (P < 0.0001) in PAG electrophoresis and correlated positively with TGs, non–HDL-C, TG/LDL-C ratio, TG/HDL-C ratio, and non–HDL-C/HDL-C ratio among all study patients. Similar results were obtained for patients analyzed according to statin treatment. The AUCs (95% confidence interval) were 0.945 (0.884-1.000) for TG/LDL-C ratio and 0.614 (0.463-0.765) for non–HDL-C in patients without statins (P = 0.0002). The AUCs were 0.697 (0.507-0.887) for TG/LDL-C and 0.682 (0.500-0.863) for non–HDL-C in patients treated with statins. The optimal cut-off point for TG/LDL-C ratio for increased LDL-MI was 1.1 (molar ratio) regardless of statin treatment. The sensitivity and specificity of TG/LDL-C ratio (90.0% and 93.9%) were higher than those of non–HDL-C (56.7% and 78.8%) in patients without statins. Conclusions: The TG/LDL-C ratio is a reliable surrogate lipid marker of sd-LDL and superior to non–HDL-C in type 2 diabetes patients not treated with statins.
Enhanced Thermodynamic, Pharmacokinetic and Theranostic Properties of Polymeric Micelles via Hydrophobic Core-clustering of Superparamagnetic Iron Oxide Nanoparticles
Authors: Jiang Yixin , Lee Junghan , Park Hye-Min , Shin Kyung-Ju , Yang Su-Geun 
Published: November 2021

Abstract
Background: Superparamagnetic iron oxide nanoparticles (SPIO) have been applied for decades to design theranostic polymeric micelles for targeted cancer therapy and diagnostic MR imaging. However, the effects of SPIO on the physicochemical, and biological properties of polymeric micelles have not yet been fully elucidated. Therefore, we investigated potential effect of SPIO on the physical and biological properties of theranostic polymeric micelles using representative cancer drug (doxorubicin; Doxo) and polymer carrier (i.e., poly (ethylene glycol)-co-poly(D,L-lactide), PEG-PLA).Methods: SPIO were synthesized from Fe(acetyl acetonate)3 in an aryl ether. SPIO and Doxo were loaded into the polymeric micelles by a solvent-evaporation method. We observed the effect of SPIO-clustering on drug loading, micelle size, thermodynamic stability, and theranostic property of PEG-PLA polymeric micelles. In addition, cellular uptake behaviors, pharmacokinetic and biodistribution study were performed.Results: SPIO formed hydrophobic geometric cavity in the micelle core and significantly affected the integrity of micelles in terms of micelle size, Doxo loading, critical micelle concentration (CMC) and in vitro dissociation. In vivo pharmacokinetic studies also showed the enhanced Area Under Curve (AUC) and elongated the half-life of Doxo.Conclusions: Clustered SPIO in micelles largely affects not only MR imaging properties but also biological and physical properties of polymeric micelles.
The Impact of Electroacupuncture Early Intervention on the Brain Lipidome in a Mouse Model of Post-traumatic Stress Disorder
Authors: Zhou Cuihong , Xue Fen , Shi Qingqing , Xue Shanshan , Zhang Tian , Ma Xinxu , Yu Lisheng , Liu Chuang , Wang Huaning , Peng Zhengwu 
Published: November 2021

Abstract
The neuroprotective effect of electroacupuncture (EA) treatment has been well studied; growing evidence suggests that changes in lipid composition may be involved in the pathogenesis of posttraumatic stress disorder (PTSD) and may be a target for treatment. However, the influence of early EA intervention on brain lipid composition in patients with PTSD has never been investigated. Using a modified single prolonged stress (mSPS) model in mice, we assessed the anti-PTSD-like effects of early intervention using EA and evaluated changes in lipid composition in the hippocampus and prefrontal cortex (PFC) using a mass spectrometry-based lipidomic approach. mSPS induced changes in lipid composition in the hippocampus, notably in the content of sphingolipids, glycerolipids, and fatty acyls. These lipid changes were more robust than those observed in the PFC. Early intervention with EA after mSPS ameliorated PTSD-like behaviors and partly normalized mSPS-induced lipid changes, notably in the hippocampus. Cumulatively, our data suggest that EA may reverse mSPS-induced PTSD-like behaviors due to region-specific regulation of the brain lipidome, providing new insights into the therapeutic mechanism of EA.
PPP6R2 is a Novel Candidate Gene for Developmental Dysplasia of the Hip as Revealed by Whole Exome Sequencing of 29 Families of Danish Descent
Authors: Dembic Maja , Andersen Lars van Brakel , Larsen Martin Jakob , Mechlenburg Inger , Søballe Kjeld , Hertz Jens Michael 
Published: November 2021

Abstract
Background Developmental dysplasia of the hip (DDH) is a common condition involving instability of the hip with multifactorial etiology. Early diagnosis and treatment are critical as undetected DDH is an important cause of long-term hip complications. Better diagnostics may be achieved through genetic methods, especially for patients with positive family history. Several candidate genes have been reported but the exact molecular etiology of the disease is yet unknown. Results In the present study, we performed whole exome sequencing of DDH patients from 29 families with at least two affected first-degree relatives. We identified PPP6R2 as a novel DDH gene as two rare missense mutations were identified in three families co-segregating with disease. Mutational burden analysis across the families identified 455 candidate genes, with many genes involved in mechanotransduction, in particular the cilia, the cytoskeleton, the extracellular matrix, and the Notch pathway. ConclusionsHere we report for the first time a previously uncorrelated gene with DDH, PPP6R2. Taken altogether, the data suggest a polygenic mode of inheritance for DDH, and we propose that impaired mechanotransduction is involved in the etiopathological mechanism.
Comprehensive Bioinformatics Analysis of Toll-like Receptors (TLRs) in Pan-Cancer
Authors: Ping Wei , Hong Senyuan , Xun Yang , Li Cong 
Published: November 2021

Abstract
Background: To conduct a comprehensive bioinformatics analysis on the transcriptome signatures of Toll-like receptors (TLRs) in pan-cancer. Materials and methods: A total of 11,057 tissues consisted of 33 types carcinoma in the cancer genome atlas (TCGA) were retrieved and then we further explored the correlation between TLRs’ expression with tumorigenesis, immune infiltration, and drug sensitivity. We conducted a comprehensive bioinformatics analysis on TLR1 to 10 in pan-cancer, including differential expression analysis between normal and tumor tissues, differential immune subtype correlation, survival analysis, tumor immune infiltration estimating, stemness indices correlation, and drug responses correlation.Results: TLR2 was high expressed in most type of tumors. TLR9 was hardly expressed compared to other TLR genes, which lead to TLR9 showed less correlation with both immune-estimate scores and stromal-estimate scores. All the TLRs were related with immune subtype of tumor samples that all of them were differentially expressed in differential immune subtype samples. Expression of TLRs were positively related with immune-estimate scores and stromal-estimate scores in almost all types of tumor. Expression of TLRs were negatively correlated with mRNA expression based stemness scores (RNAss) in nearly almost type of tumors except kidney renal clear cell carcinoma (KIRC), and also negatively correlated with DNA methylation based stemness scores (DNAss) in many types of tumors except Adrenocortical carcinoma (ACC), cholangiocarcinoma (CHOL), KIRC, acute myeloid leukemia (LAML), low-grade glioma (LGG), Testicular Germ Cell Tumors (TGCT), Thyroid carcinoma (THCA), Thymoma (THYM), and Uveal Melanoma (UVM). The expression of TLR9 was significant positively correlated with the drug sensitivity of Fluphenazine, Alectinib, Carmustine, and 7−Hydroxystaurosporine. TLR7 was significant positively correlated with the drug sensitivity of Alectinib.Conclusions: Our study reveals the significant role of TLRs family in pan-cancer and provides potential therapeutic strategies of cancer.
The Risk Factors and Predictive Nomogram for Length Of Stay More than 14 Days in Undergoing TKA Patients: A Secondary Analysis Based on a Cohort Study in Singapore
Authors: Liu Bo , Ma Yijiang , Zhou Chunxiao , wang zhijie 
Published: November 2021

Abstract
Objective: The aim was to explore the risk factors and establish a predictive nomogram of length of stay (LOS) more than 14 days in a undergoing Total knee arthroplasty (TKA) cohort .Methods: We used the raw data, a retrospective cohort study of 2622 patients undergoing TKA in Singapore, for secondary analysis. The LASSO regression was used to optimize feature selection for the LOS more than 14 days. The Multivariable logistic regression analysis was applied to build a predicting nomogram by using the feature selected in the LASSO regression model. In order to evaluate the prediction ability of the model, we calculated the C-index. Simultaneously, the ROC curve, the Calibration curve and the DCA curve was draw to assess the model. Finally, we used 1000 times bootstrap method to verify the accuracy of the model. Results: Finally, 100(3.81%) patients were hospitalized for more than 14 days and 2522 patients (96.19%) were less 14 days. Patient age, ASA status, type of anesthesia, operation duration, procedure description, DM, IHD, CHF, day of operation and blood transfusion were determined and incorporated into the diagnostic nomogram. The C-index was 0.797(95% CI: 0.755-0.839).The calibration curve showed that the model had good recognition ability.The DCA curve analysis showed that the risk nomogram of length of stay more than 14 days was clinically useful.The C-index is 0.763 through 1000 times bootstrapping validation.Conclusion:We used the age, ASA status, type of anesthesia, operation duration, procedure description, DM, IHD, CHF, day of operation and blood transfusion to establish the clinical prediction model , this method can conveniently predict the risk of individual patients with total knee arthroplasty length of stay for more than 14 days.