bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Multi-Criteria Decision-Making Method Under Neutrosophic Environment: ARAS Method With Single-Valued Neutrosophic Numbers
Authors: Adalı Esra Aytaç , Öztaş Tayfun , Özçil Abdullah , Öztaş Gülin Zeynep , Tuş Ayşegül
Published: July 2022

The most important feature of decision problems is that they contain alternatives and criteria expressed both objectively and subjectively. Such problems are solved by multi-criteria decision-making (MCDM) methods. The difficulty, however, is that qualitative criteria cannot be modeled and measured quantitatively. There are many tools, fuzzy set, intuitionistic fuzzy set, neutrosophic set, and so on, to analyze the incompleteness and uncertainty in the data. The most important characteristic that distinguishes neutrosophic sets from these sets is that they use three membership values as truth, indeterminacy, and false. In this sense, it is superior to classical fuzzy sets. Therefore, in this study, a novel-integrated solution method based on Neutrosophic Criteria Importance Through Inter-Criteria Correlation (N-CRITIC) and Neutrosophic Additive Ratio ASsessment (N-ARAS) methods is developed for the MCDM problems by integrating Single-Valued Neutrosophic Numbers (SVNNs) into CRITIC and ARAS methods. A case study from the literature concerning the most appropriate technology forecasting method selection has been applied to present the computational details. First, N-CRITIC method is performed to find the weights of selection criteria. Then, N-ARAS method is used to determine the ranking order of technology forecasting methods and select the optimal one. The sensitivity and comparative analyses have also proved that the novel-integrated solution method gives a consistent ranking for the alternatives.
Business Model Innovation to Address Vegetable Supply Chain Issues: A Case Study of an Indian Startup
Authors: Sharma A. , Deshmukh Sagar Surendra , Ojha Ankur
Published: July 2022

Purpose: Agricultural supply chains witness several challenges, which result in increased cost of operations, high wastages, and low efficiency. In the case of vegetable supply chains (VSCs), the intensity of challenges is very high due to perishability. Literature suggests various operations research tools for supply chain management of perishables, but there is a paucity of research highlighting the real models adopted by real players in the market while making revenue. This paper investigates and presents how a startup can innovate its business model to meet the VSC issues by adopting a single case study methodology.

Design: The phenomenon was studied by convergent interviewing with the company’s key personnel and gathering information from the company’s key documents followed by content analysis.

Findings: The study shows real practices adopted by a startup to cater to the challenges of VSCs in India by incorporating various tools of productivity enhancement and waste reduction. It highlights the adoption of a traceability system, production planning mechanism, reduced food miles, and green initiatives contributing to an innovative business model. The study maps the business model of the startup with the business model concept provided by Lindgardt and colleagues [ 2009 ] and states two more dimensions, i.e. “Client relationship management” and “Sustainability activities” to expand the mentioned configuration.

Originality: The study is the first of its kind to highlight the Business Model Innovation of a startup to address the VSC challenges in the Indian context.

Practical contribution: The study has important managerial implications useful for finding our new value propositions in a VSC firm by shortening and effectively integrating the supply chain while minimizing information asymmetry to achieve economies and sustainability.

Theoretical contribution: This study has strengthened the methodological advances in the study of business models based upon earlier validated configurations. It contributes to the extant research by adding two more elements “Client relationship management” and “Sustainability activities” in a business model configuration.
Magnetic Properties of FeNi Films Prepared by Oblique Deposition at Different Growth Conditions
Authors: Svalov A. V. , Makarochkin I. A. , Lepalovskij V. N. , Pasynkova A. A. , Feshchenko A. A. , Gorkovenko A. N. , Kurlyandskaya G. V.
Published: July 2022

FeNi films were prepared by oblique deposition onto glass substrate using magnetron sputtering deposition technique. The deposition was carried out on a rotating or nonrotating substrate with or without a constant magnetic field applied parallel to the substrate plane. The magnetic properties of the samples were measured by a magneto-optical Kerr effect at room temperature. All films had in-plane uniaxial magnetic anisotropy. The presence of in-plane magnetic anisotropy was also confirmed by the features of the domain structure. The main factor determining the orientation of the induced anisotropy axis of films was the magnetic field applied during deposition.
Utilization of Robotics for Healthcare: A Scoping Review
Authors: Javaid Mohd , Haleem Abid , Singh Ravi Pratap , Rab Shanay , Suman Rajiv , Kumar Lalit
Published: July 2022

Robotics is a disruptive technology that has already revolutionized patient healthcare globally. This technology is presently helping to perform various essential tasks such as conducting operations via numerous specializations and managing the entire operating room. Robot surgery is, in reality, available worldwide for knee substitution, correction of the hernia, and colon resection. Surgical robots entered the operating theatres far before entering other medicine-related robotics applications and now facilitate better outcomes for a whole range of healthcare products. In the COVID-19 pandemic, some robots were used in hospitals to deliver medicines, screen, perform odd jobs, and maintain hygienic conditions. This paper provides an overview about robotics and its various applications useful for healthcare. Significant enhancement, quality services, and advancements in healthcare services are also discussed. Here, we have identified the role of robotics in healthcare as a technology that dramatically changes the healthcare field. An artificial intelligence robot can duplicate creativity via algorithms, and its programming too plays a crucial role. Hospitals can now save time and money by removing the need for physical chores for different jobs. It is helpful for surgical training, exoskeletons, intelligent prostheses and bionics, robotic nurses, treatment, medicines, logistics, telepresence, and cleaning services. Robotics technologies such as gesture control, machine view, voice recognition, and touch sensor technology are also available. The future is bright with lower installation and maintenance costs.
Development of Software Module for Recognizing Traffic Flows Through Deep Learning
Authors: Gorodnichev Mikhail G , Erokhin Sergey D , Sheremetev Alexander V , Gematudinov Rinat A , Moseva Marina S
Published: July 2022

This work describes a software system that uses machine learning methods and classifies vehicles observed in a frame. Analysis of the subject area and the possibilities provided by the methods of machine learning in the framework of the performance of assigned tasks are realized. An important part of the work is devoted to a study of the features of machine learning technologies with a teacher. In particular, the basic principles of the functioning of convolutional artificial neural networks are considered. This paper describes the implementation of the final software module, and its functionality, and demonstrates the results of its testing. Results from the developed software module show significant improvement in the accuracy over other methods, such as Artificial Neural Networks. Further developments of this technology may lead to broader applications and further improvements.
A Case for Enrichment in Data Management Systems
Authors: Ghosh Dhrubajyoti , Gupta Peeyush , Mehrotra Sharad , Sharma Shantanu
Published: July 2022

We describe ENRICHDB, a new DBMS technology designed for emerging domains (e.g., sensor-driven smart spaces and social media analytics) that require incoming data to be enriched using expensive functions prior to its usage. To support online processing, today, such enrichment is performed outside of DBMSs, as a static data processing workflow prior to its ingestion into a DBMS. Such a strategy could result in a significant delay from the time when data arrives and when it is enriched and ingested into the DBMS, especially when the enrichment complexity is high. Also, enriching at ingestion could result in wastage of resources if applications do not use/require all data to be enriched. ENRICHDB's design represents a significant departure from the above, where we explore seamless integration of data enrichment all through the data processing pipeline - at ingestion, triggered based on events in the background, and progressively during query processing. The cornerstone of ENRICHDB is a powerful enrichment data and query model that encapsulates enrichment as an operator inside a DBMS enabling it to co-optimize enrichment with query processing. This paper describes this data model and provides a summary of the system implementation.
Electrical Conductance at Directly Bonded Si/Si Interfaces in Dependence on Oxygen Concentration in Bonding Ambient
Authors: Inomata Atsuhiro , Sano Naoki , Tanabe Katsuaki
Published: July 2022

Direct semiconductor wafer bonding is a versatile fabrication scheme for high-performance optoelectronic devices. In the present study, the influence of oxygen concentration in the bonding ambient on the electrical conductance at directly bonded Si/Si interfaces is experimentally investigated in relation to interfacial oxidation. The interfacial electrical conductivity is observed higher for lower oxygen concentration at each bonding temperature in the range of 200 °C–400 °C. Ohmic contact characteristics are found attainable in the bonded interfaces by proper choice of bonding conditions. To support the electrical conductance trend, an X-ray photoelectron spectroscopy analysis confirms the extent of interfacial oxidation to be higher for lower oxygen concentration and higher bonding temperature. In addition, solar cell fabrication and operation with a current path through the bonded interface are demonstrated by using the bonding method in a low oxygen concentration ambient. The energy conversion efficiency of the bonded cell is observed comparable to that of an unbonded reference, to thus verify the suitability of the bonding scheme for device applications.
Impact of SiC Particle Incorporated Dielectric Medium on Machining Performance of AA7050/SiC/Al2O3 Hybrid Composites
Authors: Abuthakeer S. Syath , Aboobucker Parvez Y. , Nashreen J.
Published: July 2022

The component produced with best surface quality increases the life time of the product and with the objective of attaining it AA7050 hybrid composites was processed using the Electric Discharge Machining (EDM) technique. The composites with varying weight percentage of reinforced particles (2, 4, 6, 8 wt%) was manufactured using the stir casting technique, with SiC and Al2O3 as reinforcement and uniform dispersion of particles were confirmed through SEM with EDS mapping. EDM experimentations were conducted on the composites by varying the Pulse on Time (Ton), Current (A), Powder concentration and reinforcement weight percentage and the experimental runs were being designed using the Taguchi mixed orthogonal array, Whereas Material Removal Rate (MRR), Tool Wear Rate (TWR), Surface Roughness (Ra) and Machined Surface Hardness (MSH) were recorded as response. The MRR increased from 38.72 mg min−1 to 73.67 mg min−1 when SiC particles were incorporated in the dielectric fluid attributed to the fact that generated heat was uniformly dispersed throughout the machined surface due to the low thermal conductivity of SiC particles. When powder particles were incorporated, TWR for composites machined with 2 wt percent reinforcing materials increased substantially to 32.61 mg min−1. Because of the high density of SiC particles (4.36 g cm−3), the scattered particles settled throughout the machined surface, reducing the surface quality by 12% with particle inclusion. Black spots, remelted particles, globules and micro pits are some of the textures observed on the machined surface morphology.
Slower shortening kinetics of cardiac muscle performing Windkessel work-loops increase mechanical efficiency
Authors: Garrett Amy S. , Loiselle Denis S. , Taberner Andrew J. , Han June-Chiew
Published: July 2022

Cardiac muscle samples were allowed to describe their natural shortening dynamics while performing force-length work and liberating heat. The muscle shortened more slowly and produced greater force and work output against a time-varying “Windkessel” load than during conventional constant-force shortening, thereby yielding greater mechanical efficiency. A key finding is that the slower shortening kinetics developed in the face of a time-varying load enhances the mechanical efficiency of cardiac muscle during work-loop contractions.
The development of peripheral microvasculopathy with chronic metabolic disease in obese Zucker rats: a retrograde emergence?
Authors: Halvorson Brayden D. , Menon Nithin J. , Goldman Daniel , Frisbee Stephanie J. , Goodwill Adam G. , Butcher Joshua T. , Stapleton Phoebe A. , Brooks Steven D. , d’Audiffret Alexandre C. , Wiseman Robert W. , Lombard Julian H. , Brock Robert W. , Olfert I. Mark , Chantler Paul D. , Frisbee Jefferson C.
Published: July 2022

Working from an established database spanning multiple scales and times, we studied progression of peripheral microvascular dysfunction in chronic metabolic disease. The data implicate the postcapillary venular endothelium as the initiating site for vasculopathy. Indicators of dysfunction, spanning network structures, hemodynamics, vascular reactivity, and perfusion progress in an insidious retrograde manner to present as functional impairments to muscle blood flow and performance much later. The silent vasculopathy progression may provide insight into clinical treatment challenges.
Establishing a Prediction Model by Machine Learning for Accident-Related Patient Safety
Authors: Huang Way-Ren , Tseng Ruo-Chia , Chu Woei-Chyn
Published: July 2022

Patient safety has always been an important issue when improving the quality of medical care. The first step when preventing accidents is to screen for the high-risk groups that are prone to accidents. A patient safety reporting system is one of the best tools for such screening. We used machine learning techniques to analyze events involving falling and establish a risk prediction model. The results are then fed back to medical organizations with the aim of raising their quality of medical care. Bayesian network, artificial neural network, logistic regression, and decision tree-based chi-square automatic interaction detection were applied to analyze a database covering a 14-month period from November 2012 to December 2013, and the area under the ROC curve (AUC) values were 0.940, 0.979, 0.981, and 0.971, respectively. Next, data from January to February 2013 was verified by the model showing the highest discrimination ability, namely, logistic regression, and the AUC and

F

-measure values were 0.944 and 0.871, respectively. Our results demonstrate that a high level of performance was obtained when using a machine learning model for fall prediction among newly admitted patients. Machine learning can thus be applied to provide the most appropriate decision-aided prediction model when screening high-risk groups that are prone to accidents within hospitals.
[Retracted] Ferroptosis‐Related lncRNA for the Establishment of Novel Prognostic Signature and Therapeutic Response Prediction to Endometrial Carcinoma
Authors: Zhou Xin-Ying , Dai Hai-Yan , Zhang Hu , Zhu Jian-Long , Hu Hua
Published: July 2022

Background. Ferroptosis is a recently described form of intentional cellular damage that is iron‐dependent and separate from apoptosis, cellular necrosis, and autophagy. It has been demonstrated to be adequately regulated by long noncoding RNAs (lncRNAs) in various cancers. However, the predictive profile of ferroptosis‐related lncRNAs (FRLs) in endometrial carcinoma (EC) is unknown. Herein, FRLs associated with uterine corpus endometrial carcinoma (UCEC) prognosis were screened to predict treatment response in EC. Methods. Samples of EC and adjacent normal tissues were obtained from The Cancer Genome Atlas (TCGA) dataset repository. Limma and survival packages in R software were used to screen FRLs associated with the prognosis of EC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) chord and circle plots of FRLs were also plotted. Next, FRLs screened by the least absolute shrinkage and selection operator (LASSO) method were applied to construct and validate a multivariate Cox proportional risk regression model. Nomogram plots were created to forecast the outcome of UCEC patients, and gene set enrichment analysis (GSEA), principal component analysis (PCA), and immunoassays were performed on the prognostic models. Finally, limma, ggpubr, pRRophetic, and ggplot2 programs were used for drug sensitivity analysis of the prognostic models. Results. A signature based on nine FRLs (CFAP58‐DT, LINC00443, EMSLR, HYI‐AS1, ADIRF‐AS1, LINC02474, CDKN2B‐AS1, LINC01629, and LINC00942) was constructed. The developed FRL prognostic model effectively discriminated UCEC patients into low‐risk and high‐risk groups. Immunological checkpoints CD80 and CD40 were strongly expressed in the high‐risk group. In addition, the nine FRLs were all more expressed in the high‐risk group compared to the low‐risk group. Conclusion. These findings significantly contribute to the understanding of the function of FRLs in UCEC and provide promising therapeutic strategies for UCEC.
Clinical Evidence of Acetyl-L-Carnitine Efficacy in the Treatment of Acute Ischemic Stroke: A Pilot Clinical Trial
Authors: Mazdeh Mehrdokht , Abolfathi Parnaz , Sabetghadam Maryam , Mohammadi Younes , Mehrpooya Maryam
Published: July 2022

Background. This study was undertaken to evaluate the influence of oral Acetyl-L-carnitine (ALC) in patients with acute ischemic stroke. Methods. Sixty-nine cases with acute ischemic stroke with the onset of symptoms less than 24 hours not candidates for reperfusion therapy were randomly assigned to either the ALC group (1000 mg three times per day for three consecutive days) or the matching placebo group. The study outcomes based on intention-to-treat criteria included the change in the modified Rankin Scale (mRS) and National Institutes of Health Stroke Scale (NIHSS) score from baseline to day 90, as well as the change in serum levels of the inflammatory and oxidative stress biomarkers over the 3-day treatment protocol. Results. The NIHSS score and mRS score on day 90 were improved by 5.82 and 0.94 scores, respectively, in the ALC-treated group compared to 2.83 and 0.11 scores, respectively, in the placebo-treated group, which demonstrated the superiority of ALC relative to placebo. By using the multivariable analysis after adjusting for other variables in the model, compared to the group treated with placebo, patients in the ALC group had lower NIHSS score (

β

: -2.40, 95% CI: -0.69, -4.10 (

p
=
0.007

)) and mRS score (

β

: -1.18, 95% CI: -0.52, -1.84 (

p
=
0.001

)) 90 days after the intervention. The percentage of patients with a favourable functional outcome at day 90, defined as mRS scores of 0 or 1, was significantly higher in the ALC group in comparison to the placebo group (52.9% versus 28.6%). Further, over the 3-day treatment protocol, in the patients receiving ALC, the serum levels of proinflammatory biomarkers, including soluble intercellular adhesion molecule-1 (sICAM-1), interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-α), and neuron-specific enolase (NSE), showed a significant decrease, while the serum levels of antioxidant biomarkers, including glutathione peroxidase (GPx), superoxide dismutase (SOD), and total antioxidant capacity (TAC), as well as the total L-carnitine’s level showed a significant increase compared to those in patients receiving placebo indicating significant alteration. Conclusions. Although preliminary, these results suggested that ALC administration during the acute phase of ischemic stroke might be helpful in improving functional and neurological outcomes that are probably linked to its anti-inflammatory and antioxidant properties. Trial Registration. This trial is registered with IRCT20150629022965N17 at Iranian Registry of Clinical Trials (registration date: 25/07/2018).
[Retracted] Correlations between Intestinal Microbiota and Clinical Characteristics in Colorectal Adenoma/Carcinoma
Authors: Lin Caizhao , Li Baolong , Tu Chunyi , Chen Xiaohua , Guo Min
Published: July 2022

Background. Most of colorectal cancer (CRC) cases are sporadic and develop along the adenoma‐carcinoma sequence. Intestinal microbial dysbiosis is involved in the development of colorectal cancer. However, there are still no absolute markers predicting the progression from adenoma to carcinoma. Aims. To investigate the characteristics of intestinal microbiota in colorectal adenoma and carcinoma patients and the correlations with clinical characteristics. Methods. Fecal samples were collected from 154 colorectal carcinoma patients (CRC group), 20 colorectal adenoma patients (AD group), and 199 healthy controls (control group). The intestinal microbiota was investigated by 16S rRNA gene sequencing. Results. Compared to the healthy controls, microbial diversity was dramatically decreased in AD/CRC. At the genus level, Acidaminococcus significantly decreased with the order of control‐AD‐CRC (P < 0.05). Parvimonas, Peptostreptococcus, Prevotella, Butyricimonas, Alistipes, and Odoribacter were the key genera in the network of colorectal adenoma/carcinoma‐associated bacteria. Combination of the top 10 most important species, including Butyricimonas synergistica, Agrobacterium larrymoorei, Bacteroides plebeius, Lachnospiraceae bacterium feline oral taxon 001, Clostridium scindens, Prevotella heparinolytica, bacterium LD2013, Streptococcus mutans, Lachnospiraceae bacterium 19gly4, and Eubacterium hallii, showed the best performance in distinguishing AD patients from CRC (AUC = 85.54%, 95% CI: 78.83%‐92.25%). The clinicopathologic features, including age, sex, tumor location, differentiation degree, and TNM stage, were identified to be closely linked to the intestinal microbiome in CRC. Conclusion. Several intestinal bacteria changed along the adenoma‐carcinoma sequence and might be the potential markers for the diagnosis and treatment of colorectal adenoma/carcinoma. Intestinal microbiota characteristics in CRC should account for the host factors.
Dental Age Estimation Using Multiphoton Microscopy: A Potential Tool for Forensic Science
Authors: Bueno Juan M. , Martínez-Ojeda Rosa M. , Fernández-Escudero Ana C. , Ávila Francisco J. , López-Nicolás Manuel , Pérez-Cárceles María D.
Published: July 2022

Normal aging affects the different structures of teeth, in particular, the dentine. These changes are useful in forensic disciplines as a tool for age estimation. Although multiphoton (MP) microscopy has been used to explore dental pieces, a relationship between age and MP response of the human dentine has not been proposed yet. The relationship between MP signals and natural dentine aging is investigated herein. An index of age (INAG) combining two‐photon excitation fluorescence (TPEF) and second harmonic generation (SHG) images has been used to quantify these changes. The results show that the INAG significantly decreases with age. Moreover, peritubular dentine size and collagen internal properties are also modified with age. This information confirms the usefulness of this technique in forensic age estimation after disasters (natural or manmade) with a lack of comprehensive fingerprint database. Courts and other government authorities might also benefit from this tool when the official age of individuals under special circumstances is required for legal or medical reasons.
Prognostic Factor Study of Macular Edema Recurrence in Retinal Vein Occlusion after Conbercept Treatment: A Post Hoc Analysis of the FALCON Study
Authors: Zhou Haiying , Sun Zuhua , Zhao Meng , Liu Xiaoling , Jiao Xuan , Zheng Weiwei , Zhang Feng
Published: July 2022

Objective. The study was aimed at exploring the potential predictive factors associated with the recurrence of macular edema (ME) secondary to vein occlusion (RVO) after intravitreal antivascular endothelial growth factor (VEGF) loading treatment in the FALCON study. Methods. This is a post hoc analysis of 30 patients with central RVO and 30 patients with branch RVO. All patients received a monthly administration of intravitreal conbercept during the 3-month loading phase and pro re nata (PRN) treatment during the 6-month follow-up period. Based on the recurrence of ME at the first follow-up visit, patients were classified into the recurrence group or nonrecurrence group. The primary endpoint was to explore the risk factors for recurrence among baseline characteristics, fluorescein angiography (FA) patterns, and optical coherence tomography (OCT). Results. In general, 38 patients (64.4%) experienced ME recurrence at the first follow-up visit (3 months), regardless of disease type (p=0.32). Significant improvements in VA were noted in both the nonrecurrence and recurrence groups (p<0.001), however, without significant between-group differences (p=0.1). A significant reduction in CRT in both groups (p<0.001) was identified, and patients without recurrence showed a greater reduction in CRT compared with those with recurrence (p<0.001). In addition, logistic regression analyses indicated the corrections of ME recurrence with baseline macular volume and the disruption of the outer limiting membrane at the fovea. Conclusion. This study suggested that OCT parameters, including baseline macular volume and outer limiting membrane disruption, and reduction in CRT after loading therapy were more predictive of ME recurrence than FA patterns or visual changes following conbercept loading therapy.
Analysis and Application of the Ideological and Political Evaluation System of College Students Based on Text Mining
Authors: Geng Jing , Wang Ting , Zhang Shunyou
Published: July 2022

Under the background of the new era, the ideological and political theory courses in universities are the key courses to cultivate people by virtue. It is very important for college students in their own ideological and political construction and consciousness. At the present stage, there is little research on the ideological and political current situation of college students, most of them improve the teaching program from the teacher level, and there is no research on the ideological and political evaluation system of college students. In order to understand the current situation of the ideological and political evaluation of college students, we will study it from the two aspects of the school and the society. This paper excavates and analyzes the ideological and political aspects of college students and those in the society: first of all, the ideological and political evaluation of teachers on large social platforms such as Zhihu and Weibo and the moral quality and political consciousness of college students in the society. It was then processed and analyzed using the Python language. Draw the word frequency and word cloud map of the keywords in the evaluation for analysis. Then, use the text data preprocessing method based on the word frequency statistics law (Data Preprocessing Based on Term Frequency Statistics Rules (DPTFSR)). Processing the text data and finally conducting the relevant emotional analysis show the university ideological and political system to understand the ideological and political situation of college students in the new era and to improve the ideological and political education program according to its performance.
Fuzzy Fixed Point Results of Fuzzy Mappings on
b
-Metric Spaces via

α

∗

,
F

-Contractions
Authors: Batul Samina , Sagheer Dur-e-Shehwar , Anwar Muhammad , Aydi Hassen , Parvaneh Vahid
Published: July 2022

In this manuscript, we establish some fixed point results for fuzzy mappings via

α

∗

,
F

-contractions. For validation of the proved results, some nontrivial examples are presented. Few interesting consequences are also stated which authenticate that our results generalize many existing ones in the literature.
Assessment of the Potential Health Risk of Gold Nanoparticles Used in Nanomedicine
Authors: Dvorakova Monika , Kuracka Lubomir , Zitnanova Ingrid , Scsukova Sona , Kollar Jozef , Konarikova Katarina , Laubertova Lucia
Published: July 2022

Due to unique properties, nanoparticles (NPs) have become a preferred material in biomedicine. The benefits of their use are indisputable, but their safety and potential toxicity are becoming more and more important. Especially, excessive production of reactive oxygen species (ROS) induced by the strong oxidation potential of metal NPs could evoke adverse effects associated with damage to nucleic acids, proteins and lipids. Our study gives a view on the potential cytotoxicity of gold NPs (Au NPs) of different size from the perspective of the redox state of healthy (HEK 293 T) and cancer (A375 and A594) cell lines. These cells were incubated in the presence of two concentrations of Au NPs for 24 h or 72 h and total antioxidant capacity, 8-isoprostane, and protein carbonyl levels were determined. Furthermore, the activity of antioxidant enzymes such as superoxide dismutase, glutathione peroxidase, and catalase was detected in cell lysates. Our results compared to the results of other laboratories are very contradictory. The outcomes also differ between healthy and cancer cell lines. However, there are certainly changes in the activities of antioxidant enzymes, as well as the damage to biological molecules due to increased NP-induced oxidative stress. But the final decision of the effect of Au NPs on the oxidative state of selected cell lines requires further research.
Prognosis Analysis and Validation of Fatty Acid Metabolism-Related lncRNAs and Tumor Immune Microenvironment in Cervical Cancer
Authors: Lang Xiaolin , Huang Changchang , Cui Hongyin
Published: July 2022

Cervical cancer (CC) is the third most common carcinoma and the fourth leading cause of cancer-associated mortality in women. The deregulation of fatty acid metabolism plays a crucial role in the progression of various tumors. This study is aimed at exploring the prognostic values of fatty acid metabolism- (FAM-) related long noncoding RNAs (lncRNAs) in CC. FAM-related differentially expressed genes (DEGs) and lncRNAs were screened in CC specimens based on TCGA datasets. Univariate analysis was carried out on differentially expressed lncRNAs to screen the survival-related lncRNAs. Multivariate assays were performed on the resulting lncRNAs to create a novel risk model. Survival assays were applied to examine the prognostic abilities of our model. Receiver operating characteristic (ROC) analysis was used to evaluate the accuracy of the new model. The association between risk model and immune responses was analyzed. In this study, we screened 9 differently expressed lncRNAs associated with the clinical outcome of CC patients. A nine-lncRNA signature comprising SCAT1, AC119427.1, AC009097.2, MIR100HG, AC010996.1, AL583856.2, MIAT, AP003774.2, and AC004540.2 was established to predict overall survival of CC. Survival assays revealed that patients’ high risk score showed a shorter overall survival than those with low risk score. Multivariate assays demonstrated that the nine-gene signature was an independent prognostic factor in CC. In addition, we observed that APC_co_stimulation, CCR, and parainflammation were distinctly different between low-risk and high-risk groups. Our group observed a distinct difference in the expressions of CD44, TNFRSF8, CD276, LAG3, TNFRSF14, TMIGD2, VTCN1, TNFRSF25, CD80, NRP1, TNFRSF18, CD70, TNFSF9, and LGALS9 between the two groups of patients. Overall, our findings indicated that the 9 FAM-related lncRNA signature might be a promising prognostic factor for CC and can promote the management of FAM-related therapy in clinical practice.
Joint Computation Offloading and Resource Allocation for NOMA-Enabled Multitask D2D System
Authors: Han Yuelin , Zhu Qi
Published: July 2022

Due to the limited computing capacity of mobile device and high network-accessing delay, user in the area where mobile terminals are densely distributed (e.g., schools, malls, and hospitals) will experience high latency when processing multiple computation-intensive tasks. In this paper, a computation offloading scheme based on Device-to-Device (D2D) communication is proposed to deal with the problem that users have multiple tasks to process. Exploiting nonorthogonal multiple access (NOMA), user can offload tasks to multiple nearby devices that have available idle computing resource. We aim to minimize the user’s total cost including time latency, energy consumption, and offloading charge, which is formulated as a mixed integer nonlinear programming (MINLP) problem. We use decomposition approach to solve our problem and propose a two-layer optimization scheme named Multitask Joint Computation Offloading and Resource Allocation (MT-JCORA). In the inner layer, the NOMA-transmission time optimization problem in given task offloading decision is proved as a strictly convex problem. In the outer layer, we design a heuristic algorithm based on GA algorithm to obtain the optimal task offloading decision. Simulation results demonstrate that MT-JCORA can effectively reduce the total cost of user compared with related schemes.
[Retracted] Effects of Sacubitril/Valsartan on the Expression of CaMKII/Cav1.2 in Atrial Fibrillation Stimulation Rabbit Model
Authors: Lou Qi , Li Lu-yi-fei , Liu Guang-zhong , Zhan Cheng-chuang , Zhang Li , Zang Yan-xiang , Li Wei-min
Published: July 2022

Background and Objective. Atrial fibrillation (AF) is linked to high morbidity and death rates throughout the world due to limited therapeutic options and thus presents a major challenge to the developed and developing countries. In this study, we aim to investigate the influence of sacubitril/valsartan (sac/val) treatment on the calmodulin‐dependent protein kinase II (CaMKII)/Cav1.2 expression in AF models. Methods. Overall, 18 rabbits were randomly divided into control, pacing (600 beats/min), and pacing+sac/val groups. The rabbits in the pacing+sac/val cohort received oral sac/val (10 mg/kg twice daily) across the 21‐day investigation period. After three weeks, the atrial effective refractory period (AERP) and AF induction rate were compared. HL‐1 cultures were exposed to fast pacing (24 h) with and without LBQ657 (active sacubitril form)/valsartan. Western blots were used for detecting Cav1.2 and CaMKII expression within atrial muscles of the rabbits and HL‐1 cultures of AF model. Results. In comparison to the sham cohort, the AF induction rate was markedly increased together with AERP reduction within pacing cohort. Such changes were markedly rescued through sac/val treatment in pacing+sac/val cohort. The proteomic expression profiles of CaMKII and Cav1.2 showed that the CaMKII expression was markedly upregulated, while Cav1.2 expression was downregulated in the pacing cohort. Importantly, these effects were absent in pacing+sac/val cohort. Conclusion. Results of this study show that sac/val treatment regulates the expression of CaMKII/Cav1.2 and could alter this pathway in atrial rapid electrical stimulation models. Therefore, this investigation could contribute to a novel strategy in AF therapeutics in clinical settings.
Low-Intensity Pulsed Ultrasound Enhanced Adipose-Derived Stem Cell-Mediated Angiogenesis in the Treatment of Diabetic Erectile Dysfunction through the Piezo-ERK-VEGF Axis
Authors: Liu Shiyun , Jiang Chenyi , Hu Jianlin , Chen Huixing , Han Bangmin , Xia Shujie
Published: July 2022

Objectives. Erectile dysfunction is a major comorbidity of diabetes. Stem cell transplantation is a promising method to treat diabetic erectile dysfunction. In this study, we evaluated whether low-intensity pulsed ultrasound (LIPUS) could enhance the efficacy of adipose-derived stem cells (ADSCs) and investigated the underlying molecular mechanism. Materials and methods. Sixty 8-week-old male Sprague–Dawley rats were randomly divided into the normal control (NC) cohort or the streptozocin-induced diabetic ED cohort, which was further subdivided into DM, ADSC, LIPUS, and ADSC+LIPUS groups. Rats in the ADSC or ADSC+LIPUS group received ADSC intracavernosal injection. Rats in the LIPUS or ADSC+LIPUS group were treated with LIPUS. The intracavernous pressure (ICP) and mean arterial pressure (MAP) were recorded at Day 28 after injection. The corpus cavernosum tissues were harvested and subjected to histologic analysis and ELISA. The effects of LIPUS on proliferation and cytokine secretion capacity of ADSCs were assessed in vitro. RNA sequencing and bioinformatic analysis were applied to predict the mechanism involved, and western blotting and ELISA were used for verification. Results. Rats in the ADSC+LIPUS group achieved significantly higher ICP and ICP/MAP ratios than those in the DM, ADSC, and LIPUS groups. In addition, the amount of cavernous endothelium and cGMP level also increased significantly in the ADSC+LIPUS group. In vitro experiments demonstrated that LIPUS promoted proliferation and cell cycle progression in ADSCs. The excretion of cytokines such as CXCL12, FGF2, and VEGF was also enhanced by LIPUS. Bioinformatic analysis based on RNA sequencing indicated that LIPUS stimulation might activate the MAPK pathway. We confirmed that LIPUS enhanced ADSC VEGF secretion through the Piezo-ERK pathway. Conclusion. LIPUS enhanced the curative effects of ADSCs on diabetic erectile dysfunction through the activation of the Piezo-ERK-VEGF pathway. ADSC transplantation combined with LIPUS could be applied as a synergistic treatment for diabetic ED.
Multiobjective Optimization Scheduling of Sequential Charging Software for Networked Electric Vehicles
Authors: Liu Xue , Wang Xiaowei , Ren Feng , Zhang Ming , Khatter Harsh , alam Afroj
Published: July 2022

In order to reduce the adverse effects of disordered charging of electric vehicles on the safe and stable operation of the distribution network, a multiobjective optimal scheduling method for the sequential charging software of networked electric vehicles is proposed. Aimed at minimizing charging costs and peak-to-valley differences in distribution network loads, its scheduling strategy will continuously roll and update EV charging schemes over time. The results show that the actual response data collected by the Internet of Vehicles app has corrected the probability distribution of the user’s choice of charging mode and response behavior. On the fifth day, the user’s actual charging response curve is close to the theoretical curve obtained by the optimization algorithm, and the expected charging is basically achieved. Calculations showed that the variance of the total load curve after charging decreased by 24.8 from 169.35 to 127.39. The proposed orderly charging strategy can effectively reduce the charging cost of electric vehicle users and the peak-to-valley difference of the distribution network load, play a good role in peak-valley filling, improve the convergence accuracy of the algorithm, and obtain the optimal solution of the problem.
[Retracted] Clinical Effect of Microneedle Injection Combined with Blood Transfusion in the Treatment of Severe Anemia Complicated with Vitiligo under Regenerative Medical Technology
Authors: He Tao , Gong Li
Published: July 2022

To explore the clinical efficacy of microneedle injection combined with blood transfusion in the treatment of severe anemia complicated with vitiligo based on regenerative medical technology and provide the theoretical basis for the adoption of microneedle technology, 60 patients with severe anemia complicated with vitiligo were selected as research objects. With 15 patients in each group, they were randomly assigned to the control group (calcipotriol ointment external application), observation group A (external application of moist exposed burn ointment (MEBO), observation group B (external application of MEBO combined with blood transfusion), and observation group C (microneedle injection of MEBO combined with blood transfusion). Blood indexes and plaque recovery of patients in different periods were detected. The total protein (TP) content in group C (62.3 ± 3.3 g/L and 64.3 ± 2.88 g/L) was remarkably higher than that in the control group (51.3 ± 3.17 g/L and 52.4 ± 3.17 g/L) and group A (52.6 ± 2.91 g/L and 51.8 ± 2.98 g/L)) at the 5th and 7th weeks after the treatment (P < 0.05). The albumin (ALB) content in group C (42.9 ± 3.28 g/L and 45.3 ± 3.1 g/L) was signally higher than that in the control group (41.8 ± 3.44 g/L and 41.9 ± 3.23 g/L) and group A (41.3 ± 2.91 g/L and 42.1 ± 3.02 g/L) at the 5th and 7th weeks after the treatment, and the content was markedly higher than that in group B at 5th week (P < 0.05). The wound healing rates of group C at the 3rd, 5th, and 7th weeks after the treatment (38.44%, 56.6%, and 90.23%) were greatly higher than those of the control group, group A, and group B (P < 0.05). Besides, the wound healing rate of group B was higher than that of the control group and group A (40.3% and 75.8%) at the 5th and 7th weeks after the treatment (P < 0.05). To sum up, based on regenerative medical technology, microneedle injection (microneedling is a derma roller process that pricks the skin with minuscule needles. The goal of the treatment is to develop new collagen and skin tissue, resulting in skin that is smoother, firmer, and more toned) combined with blood transfusion had a good therapeutic effect on patients with severe anemia complicated with vitiligo, which could manifestly improve the blood indexes and skin plaques of patients, with a good clinical adoption effect.
Guanxinning Tablet Attenuates Coronary Atherosclerosis via Regulating the Gut Microbiota and Their Metabolites in Tibetan Minipigs Induced by a High-Fat Diet
Authors: Yang Qinqin , Xu Yanyun , Shen Liye , Pan Yongming , Huang Junjie , Ma Quanxin , Yu Chen , Chen Jiaojiao , Chen Yu , Chen Minli
Published: July 2022

Coronary atherosclerosis (CA) is a chronic and evolving inflammatory disease characterized by the build-up of atherosclerotic plaque in the wall of coronary arteries. Guanxinning tablet (GXNT) is a novel Chinese medicine formula, which has been clinically used to treat coronary heart disease for many years. However, the potential mechanism for treating CA remains unclear. Thus, the study was aimed at investigating the therapeutic effect of GXNT on CA and further explore the underlying mechanisms from the perspective of gut microbiota. Following the establishment of a CA model in Tibetan minipigs, GXNT was orally administrated. We simultaneously detected blood lipid levels, observed ventricular function using ultrasound examination, measured platelet aggregation, and checked changes in inflammatory factors, oxidative stress factors, and vascular endothelial injury-related indexes applying ELISA assays. Histopathological changes of coronary artery tissue were subsequently evaluated using Sudan IV staining, HE staining, Oil red “O” staining, and immunohistochemistry assays. Finally, alterations of the gut microbiota and microbial metabolites were detected using metagenomic sequencing and targeted metabolomics, respectively. The results have suggested that GXNT could regulate dyslipidemia, improve heart function, and inhibit the levels of ox-LDL, CRP, TNF-α, IL-1β, SOD, MDA, vWF, and ET-1, as well as platelet aggregation. Additionally, histopathological findings revealed that GXNT could reduce lipid deposition, alleviate AS lesions, and restrain the expressions of NF-κB, TNF-α, and MMP-9. Furthermore, the composition of the gut microbiota was altered. Specifically, GXNT could upregulate the relative abundance of Prevotellaceae and Prevotella and downregulate the abundance of Proteobacteria, Enterobacteriaceae, and Escherichia. As for microbial metabolites, GXNT could increase fecal propionic acid, butyric acid, and LCA-3S and decrease fecal TMA-related metabolites, CDCA, and serum TMAO. In sum, the results showed that GXNT had a satisfactory anti-CA effect, and the mechanism was closely associated with modulating gut microbiota and related metabolites.
Tailored Extracellular Vesicles: Novel Tool for Tissue Regeneration
Authors: Li Linli , Wu Peipei , Qian Hui , Xu Wenrong , Shi Hui , Jiang Jiajia
Published: July 2022

Extracellular vesicles (EVs) play an essential part in multiple pathophysiological processes including tissue injury and regeneration because of their inherent characteristics of small size, low immunogenicity and toxicity, and capability of carrying a variety of bioactive molecules and mediating intercellular communication. Nevertheless, accumulating studies have shown that the application of EVs faces many challenges such as insufficient therapeutic efficacy, a lack of targeting capability, low yield, and rapid clearance from the body. It is known that EVs can be engineered, modified, and designed to encapsulate therapeutic cargos like proteins, peptides, nucleic acids, and drugs to improve their therapeutic efficacy. Targeted peptides, antibodies, aptamers, magnetic nanoparticles, and proteins are introduced to modify various cell-derived EVs for increasing targeting ability. In addition, extracellular vesicle mimetics (EMs) and self-assembly EV-mimicking nanocomplex are applied to improve production and simplify EV purification process. The combination of EVs with biomaterials like hydrogel, and scaffolds dressing endows EVs with long-term therapeutic efficacy and synergistically enhanced regenerative outcome. Thus, we will summarize recent developments of EV modification strategies for more extraordinary regenerative effect in various tissue injury repair. Subsequently, opportunities and challenges of promoting the clinical application of engineered EVs will be discussed.