bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amalgamation of Nanotechnology with Chicken Egg Yolk Antibody (IgY) for Enhanced Therapeutic and Diagnostic applications – A Systematic Review
Authors: Suresh Laksha Gayathri , Indhuprakash Srichandrasekar Thuthikkadu , Gandhi Sakthivel , Thirumalai Diraviyam 
Published: November 2022

Abstract
Antibody research field has dramatically revolutionized the pharmaceutical industry for diagnosis and therapeutic applications. Ever since after the approval of first monoclonal antibody by US-FDA, researchers have been extensively working on this new class of drugs called antibodies. Owing to its inexpensive, fast production of no ethical concern, IgY from avian source i.e., chicken-IgY has attracted many researchers. Nevertheless, the combination of deploying nanoparticle and IgY-technology has a great potential in making tremendous impact in combating the issues of biosensing and antibody delivery. The so-called nano-immunotherapy, that uses nanoparticles as a carrier to safely and effectively transport IgY antibodies to the target region, may be the most cutting-edge, sophisticated, effective, and best method to address antibody delivery-related problems. Utilizing the proper moieties, functionalized nanomaterials can help improve the localization of antibodies at a specific site, thereby reducing off-targeting problems, protect them from enzyme-mediated degradation, lessen side effects, and decrease the frequency of dosage by high loadings in a single dose. Overall, this review presents the so-far postulated frameworks on the usage of nanomaterials with IgY for diagnostic and therapeutic applications thereby discussing the immediate need in shifting the paradigm of employing nano-IgY technology to set a benchmark in healthcare industry.
Parent-adolescent conflict, peer victimization, and Internet gaming disorder among Chinese adolescents: The moderating effect of OXTR gene rs53576 polymorphism
Authors: Liang Qiao , Long Hongzhi , Yu Chengfu , Xing Qiang , Chen Pei , Li Shengnan 
Published: November 2022

Abstract

Background:Despite growing evidence that parent-adolescent conflict positively correlates with Internet gaming disorder (IGD) among adolescents, its underlying mediating and moderating mechanisms have not been thoroughly examined. Based on the social development model and gene-environment interaction perspective, this study investigates whether the indirect association of parent-adolescent conflict, which impacts adolescent IGD through peer victimization, was moderated by the oxytocin receptor (OXTR) gene rs53576 polymorphism.Methods:Overall, 673 Chinese adolescents (Meanage= 12.81 years;SD= 0.48 years; 54% boys) were included in this study. The participants completed questionnaires concerning parent-adolescent conflict, peer victimization, and IGD, and genomic DNA was extracted from each participant’s saliva and buccal cells.Results:The findings indicated that peer victimization mediated the link between parent-adolescent conflict and IGD among adolescents. TheOXTRgene rs53576 polymorphism also moderated this indirect link. Specifically, the indirect effect of parent-adolescent conflict on adolescent IGD through peer victimization was significant for adolescents with AA homozygotes. However, it was non-significant for G-carrier adolescents.Conclusion:This research simultaneously considers the roles of family, peers, and genetics in the occurrence of adolescent IGD. Furthermore, it provides beneficial information to customize interventions for adolescent IGD prevention.
Coconut flour (Cocos nucifera L.) partial replacement on wheat flour (Triticum aestivum)-based tortillas and its effect on dough rheology and tortilla quality
Authors: Islas-Rubio Alma R. , Laborin-Escalante Francisco , Vásquez-Lara Francisco , Montoya-Ballesteros Luz C , Ramos-Clamont-Montford Gabriela , Barca Ana M. Calderón de la , Heredia-Sandoval Nina G. 
Published: November 2022

Abstract
One of the popular flatbreads in northern Mexico are the wheat-flour (WF) tortillas to prepare ‘burritos’ widely accepted in USA and other countries, but with low nutritional quality. Therefore, to increase protein and fiber contents we replaced 10 or 20% WF with coconut (Cocos nucifera, variety Alto Saladita) flour (CF) and evaluated the effects in dough rheology and quality of the composite tortillas. There were differences in the optimum mixing time among the doughs. The protein, fat, and ash contents of the tortillas increased (p < 0.05), with the CF increasing. The carbohydrate content was not different (p > 0.05), but the 20% CF tortillas contained more fiber than the control tortilla. Tortilla firmness increased (p < 0.05) and extensibility decreased (p < 0.05) with the CF increasing. The 80:20 blend tortillas showed the highest firmness (7.9 N), whereas the control and the 90:10 blend tortillas did not differ (p > 0.05) in firmness. There were no differences (p > 0.05) in extensibility between the composite tortillas. The physicochemical properties of the tortillas indicated that the 20% CF-containing tortilla is a better nutritive option to only wheat flour tortilla for its higher dietary fiber and protein contents, in addition to the slightly reduction in extensibility compared to the WF tortilla.
A comparative estimation on the property’s performance and applications of ZnO thin fabricated via ALD
Authors: Fouad S. S. , Nabil M , Parditka B. , Ismail A. M. , Atyia H. E. , Baradács E. , Erdélyi Zoltán 
Published: November 2022

Abstract
In this study we investigated the material properties of ZnO thin film of ≈ 300 nm thickness, grown on glass and silicon substrates by using atomic layer deposition (ALD) technique. Structural characterization was carried out using incident X-ray diffraction pattern. The microstructural evolution was accompanied by the grain size measurement. A key element of this study was to prove that it is practically impossible to attribute the optical energy gap Eg and the refractive index n dependence to any typical thin film material because these parameters depend on the deposition condition and the program used for determination. Two different values (3.32 and 3.36 eV) for the optical energy gap Eg, and (2.29–2.27) for the refractive index, have been reported and analyzed for ZnO thin film due to the type of behavior of absorbance, transmittance and reflectance. The dielectric characteristics and the AC conductivity were also measured at temperature ranging from (303–413 K0 ) and at frequency range of (1 K Hz to 1 MH). The data of the AC conductivity was analyzed by the universal power law. It was found that the corelated barrier hopping model (CBH) model is the predominate conduction mechanism. This article contains recent advances in the modified ZnO metal oxide prepared by (ALD), for efficient approach for sensor device fabrication depending mainly on the estimated parameters.
Kinetic characteristics of microplastic release from commonly used masks in aquatic environment
Authors: Liu Ying , Yang Xiaoxia , Chen Liangkai , Zhou Yan , He Qian , Liu Shuli , Li Yan , Tian Kunming 
Published: November 2022

Abstract
Masks-related microplastic pollution poses a new threat to the environment and human health that has gained increasing concern. However, the longer-term kinetics of microplastic release from mask in aquatic environments have not been studied, which hampers its risk assessment. Four types of masks, Mask 1 (normal mask), Mask 2 (fashion mask), Mask 3 (N95 mask), and Mask 4 (disposable surgical mask), were exposed to simulated natural water environments to determine the time-dependent microplastic release characteristics at 3, 6, 9, and 12 months, respectively. In addition, the structure changes of employed masks were examined by scanning electron microscopy. Moreover, Fourier transforms infrared spectroscopy (FT-IR) was applied to analyze the chemical composition of released microplastic fibers. Our results showed that the stimulated natural water environment could degrade four masks and produce microplastic fibers and fragments in a time-dependent manner. The size of released particles/fibers is dominant below 20 µm across four mask types. The physical structure of all four masks was damaged to varying degrees. Collectively, we characterized the long-term kinetics of microplastic release from commonly used masks. Our findings suggest that urgent action must be taken to properly manage disposable masks and ultimately limit the health threats associated with discarded masks.
Evaluation of nature parks according to Multi Criteria Decision Making Methods in nature-based tourism processes: Giresun-Turkey
Authors: Kızılkan Yusuf , Birinci Salih , Kaymaz Çağlar Kıvanç 
Published: November 2022

Abstract
Protected areas are the focal point of processes that come to the forefront and contribute to tourism with the concern of transferring national and international natural and cultural areas to future generations. This study includes the determination of the evaluation factors for tourism-based protected area approaches, and the analysis of the protected areas that developed in terms of tourism and infrastructure among the nature parks in Giresun province according to the AHP-TOPSIS method. The proposed model is designed according to 4 main groups resource values and 15 sub-criteria. In the research, the opinions of the experts on the protected areas were analyzed by making pairwise comparisons and alternative selection. The results of these analyzes contribute to the correct decision-making, planning, management, and precise determination of investment areas for the protected areas used for tourism purposes while providing convenience to eliminate the deficiencies in protection and infrastructure planning.
Predictors of Extubation in the Operating Room after Pediatric Cardiac Surgery: A Single Center Retrospective Study
Authors: Biçer Mehmet , Kozan Şima , Darçın Kamil , Çetin Seçil , Tanyıldız Murat , Özden Ömer , Kızılkaya Metehan , Akçevin Atıf 
Published: November 2022

Abstract
Objective
Despite various clinical benefits of early extubation following congenital cardiac surgery, the feasibility of this strategy has been widely debated. In this study, we present the outcomes of our on-table extubation strategy in patients with congenital cardiac disease.
Methods
We performed a retrospective analysis of 91 patients from all age groups, operated on for congenital heart diseases. Patients were evaluated according to the STS-EACTS scoring system. Perioperative patient data were analyzed and correlated with the extubation status.
Results
Overall, 56% of the patients were extubated in the operating room. There was an association between younger age, longer bypass and cross-clamp times and on-table extubation. In addition, lactate as well as partial carbon dioxide pressure values in the blood gas analysis taken prior to extubation were shown to be significant with regards to extubation success. Patients with STAT expected mortality rates below 4.3% and estimated major complication rates below 6.9% were more likely to be extubated. Further, the blood gas analysis with lactate values ​​below 3.9mmol/L and partial carbon dioxide pressures below 35.3mmHg would direct the strategy in favor of on-table extubation. Moreover, there was a significant correlation between a decreased length of hospital stay and on-table extubation.
Conclusion
The outcomes of our on-table extubation strategy for patients with congenital cardiac disease reveal the feasibility of this approach. Higher lactate levels, younger age, increased surgical complexity are indicators of on-table extubation failure. Further, this strategy is associated with shorter ICU and hospital length of stays as an additional clinical benefit.
Transportation Efficiency of Railway Operation Enterprises
Authors: Niu Yanliang , Xiao Fushu , Zhang Na , Sadeghi Mahsa 
Published: November 2022

Abstract
As the basic unit of railway transportation service, railway operation enterprises have receive1d more and more attention. The improvement of transportation efficiency of railway operation enterprises plays a vital role in developing railway transportation. We used the three-stage DEA-Bootstrap model to calculate the transportation efficiency of 38 railway operators worldwide from 2000 to 2020. Compared with the traditional DEA model and the three-stage DEA model, the three-stage DEA-Bootstrap not only eliminates the influence of environmental variables on the efficiency value, but also revises the influence of random factors on the efficiency, and obtains the efficiency closest to the real value. The results show that China Railways (CR), Japan Railways (JR), India Railways (IR), and Russian Railways (RZD) all have high-efficiency rankings in the first stage, the third stage, after Bootstrap correction. Railway comprehensive efficiency is mainly composed of scale efficiency and technical efficiency. And scale efficiency (SE) is the most important factor that determines the overall efficiency of an enterprise. Companies with high-scale efficiency tend to rank relatively high in overall efficiency. Based on the revised characteristics of pure technical efficiency and scale efficiency, we divided the sample enterprises into regions and proposed a promotion strategy relying on the characteristics of regional development. This study would promote improving the transportation efficiency of railway operating enterprises and developing the entire railway transportation industry.
Clinical implications and immunological features of iron metabolism-related gene prognostic signature in breast cancer
Authors: Wang Wenqian , Yu Anni , Wang Zhiruo , Guo Haodong , Yue Chenran , Li Nannan , Wang Yue , Gao Sheng , Hua Chunyan 
Published: November 2022

AbstractBackgroud: Increasing evidences suggest that the dysregulation of iron metabolism is linked to the onset and progression of breast cancer. However, prognostic value and therapeutic importance of iron metabolism-related genes in breast cancer remain unclear. Methods RNA sequencing information, clinicopathological data, and iron metabolism-related gene sets were obtained from The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database and the Molecular Signatures Database. The risk score model was constructed and validated using GSEA, univariate, multivariate Cox, and LASSO regression analysis. The tumor microenvironment landscape of risk model was then evaluated. Finally, we predicted the immunotherapy response and drug prediction of iron metabolism-related signature. Results A total of 7 iron metabolism-related genes were identified, and a novel risk signature was developed in the training cohort for prognosis and risk stratification. The prognostic value of this model was also verified in the testing cohort. Moreover, a nomogram model was constructed and shown high predictive accuracy for 1-, 3-, and 5-year OS rate estimates. In addition, the high risk group had significantly higher immune, stromal and estimate scores, increased immunosuppressive cell infiltrations, elevated marker genes of cancer associated fibroblasts, lower tumor mutation burden, and worse response to anti-PD-L1 immunotherapy. Finally, the associations between drug sensitivity and risk model were analyzed, which might explore targeted drugs to improve the clinical outcomes for breast cancer patients. Conclusions The iron metabolism-related gene prognostic signature was developed and validated, which might provide a method for predicting the prognosis and survival of breast patients, as well as potential targets and drugs for immunotherapy.
Identification of hub-methylated differentially expressed genes in lung adenocarcinoma and immunotherapy resistance
Authors: Ye Xiaodie , Cai Weiguo , Zhang Jian , Zhang Zhiru , Zhi Cheng , Liu Manting , Zhang Zhenfeng 
Published: November 2022

Abstract

Incidence and mortality of lung adenocarcinoma are high, and the epigenetic mechanism of DNA methylation has a critical effect on LUAD at all stages. Our work used GEO and TCGA databases to identify differentially methylated genes (DMGs) in LUAD to explore how DNA methylation works in immunotherapy resistance. Candidate pathogenic genes were highly correlated to hub-methylated differentially expressed genes (SLC2A1, HLF, FAM83A, SCARF1, C2orf40). Core genes were correlated with the pathways regulating cancer development. Using the TISIDB database to estimate immune cell infiltration and immune factor levels, a relation of tumor gene levels with immune infiltration suggested the possible effect of core genes on regulating tumor microenvironment (TME). The functional pathways and key genes were analyzed via GESA and GEVA (GO, KEGG) to identify functionally enriched pathways and key genes. According to CMap, there was a significantly negative correlation between drug expression profiles (BX-912, JAK3-inhibitor-VI, panobinostat, purvalanol-A, and scriptaid) and differentially expressed genes. Therefore, we hypothesized that these drugs could enhance LUAD anti-tumor therapy.
Identification of microRNAs with therapeutic potentials on prostate cancer drug targets: In-silico prediction and In-vitro validation
Authors: Rezaei Samaneh , Abadi Mohammad hassan Jafari Najaf , Bazyari Mohammad Javad , Aghaee-Bakhtiari Seyed Hamid 
Published: November 2022

Abstract
Developing novel strategies for cancer treatment is essential in modern medicine. MiRNAs are master regulators of gene expression and act as control nodes or hubs in regulatory networks. Thus, we hypothesized that miRNAs could be an appropriate and novel therapeutic tool simultaneously targeting a candidate gene set. We defined a set of druggable genes with approved clinical outcomes in prostate cancer by a literature review (i.e., AR, PIK3CA, PIK3CB, MET, FGFR4, EGFR). We conducted gene ontology (GO) enrichment and KEGG pathway analyses using DAVID and BINGO. The gene-gene interaction network was evaluated by GeneMANIA. The protein-protein interaction analysis was performed by STRING. Visualization and integration of biological networks were performed by Cytoscape. These analyses showed selected genes' importance in prostate cancer and its related pathways. Then we applied three bioinformatics algorithms to predict the candidate miRNAs, including mirDip, TarBase v8, and miRTarbase. As a result, miR-124-3p, miR-16-5p, and miR-27a-3p were retrieved through in-silico analyses. The quantitative characteristics of extracted miRNAs with mRNAs were determined using MIRANDA and BiBiServ-Services. The binding features included the miRNA binding site (BS) of mRNA, the locations of miRNA BS (3 UTR,5 UTR, CDS), and the interaction free energy (ΔG, kcal/mole). Next, we performed some experimental techniques to examine the validity of the results. After transfecting the PC-3 and LNCaP cell lines with miRNA overexpressing vectors, the mRNA level of the target gene was examined by RT-PCR. The effects of candidate miRNAs on cell viability were evaluated using MTT assays. The cell cycle distribution was studied by flow cytometry. Our findings suggest that this novel approach may have higher clinical benefits in cancer treatment by concurrent targeting therapeutically relevant gene sets by miRNAs.
Analysis of Daily Visual Habits in a Presbyopic Population
Authors: Ribeiro Filomena , Ferreira Tiago B , Silva Diana , Cláudia Matos Ana , Sylvia Gaspar , P Piñero David 
Published: November 2022

AbstractPurpose:To evaluate and report the visual habits and requirements of a sample of presbyopic patients using an advanced sensor.Methods:Transversal study collecting clinical data from 40 presbyopes candidates for presbyopia-correction intraocular lens (IOL) implantation with mean age of 61.0 years (43-80 years). A complete ophthalmological examination was performed in all patients including visual, refractive, an ocular biometric analysis. Furthermore, patients were instructed about the use of the Vivior Monitor system (Vivior AG, Zürich, Switzerland), which consists of a series of sensors attached to the rim of the patient’s glasses that capture information about the visual behavior of the patient. This device was worn for a period of 6 hours or more. The data collected was transferred to a database and analyzed.Results:Mean percentages of time dedicated to distance, intermediate and near vision were 27.25±11.93% (5-65%), 30.23±9.36% (12-50%), and 42.53±14.96% (13-78%), respectively. Mean percentages of time performing activities under photopic, mesopic and scotopic conditions were 37.08±23.20% (5-87%), 33.65±13.84% (6-67%), and 29.28±17.03% (4-65%). The percentage of time with digital screens ranged from 2% to 48%. Age was significantly correlated with the percentage of time dedicated to distance vision (r=0.317, p=0.047) and to activities performed under photopic conditions (r=-0.344, p=0.030).Conclusions:Distance and illumination conditions used to perform different daily life visual activities vary significantly among presbyopes, with a trend to the dedication of more time to intermediate and near visual activities performed under photopic and mesopic conditions.
Wireless sensor networks and internet of things for E-services applied natural language processing and deep learning
Authors: Muam Pascal , skalna Iwona , Pełech-Pilichowski Tomasz 
Published: November 2022

Abstract
Introduction
. The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts.
Objective
To present methods on how remote systems collect data and semantically analyze and determine a situation.
Method and material:
Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs.
Results
Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded.
Conclusion
The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.
Network Pharmacology and Molecular Docking Study of guggulsterone in the Treatment of hyperlipidaemia
Authors: Sarvesh Sabarathinam , Kumar Rajappan Chandra Satish 
Published: November 2022

Abstract
Guggulu is an oleo gum resin from the Commiphora species. It is widely used for cholesterol-lowering activity and arthritis. Guggulsterone plays a major role in the cholesterol-lowering mechanism by inhibiting Farnesoid X Receptor. The pharmacokinetic parameters of Guggulsterone were estimated from P.K.C.S.M. online server, Network analysis was performed followed by molecular docking analysis performed from Autodock V.® 4.2.6 Program. In silico data shows that guggulsterone is an inhibitor of the CYP3A4 enzyme and hepatotoxic in nature. Guggulsterone isomer showed a stronger binding affinity when compared with atorvastatin. The docking score for Guggulsterone was significant to positive control atorvastatin. The present study revealed that Guggulsterone has a high binding affinity and good binding interaction with targeted protein & positive control atorvastatin.