bluuebunny/crossref_metadata_2025 huggingface dataset:
A Prediction Model of Human Resources Recruitment Demand Based on Convolutional Collaborative BP Neural Network
Authors: Li Haoran , Wang Qing , Liu Jiakun , Zhao Dawei
Published: June 2022

This paper presents an in-depth study and analysis of the prediction model of force resource recruitment demand using a convolutional neural network combined with a BP neural network algorithm. BP neural network technology is introduced to be applied to enterprise management talent assessment activities. Using BP neural network has strong parallel processing characteristics, as well as unique adaptive learning and feedback adjustment capabilities while combining the traditional enterprise talent assessment system, to build a business management talent assessment model based on BP neural network technology, to circumvent the possible influence of subjective factors in talent assessment, reduce assessment errors, and improve the accuracy and validity of the assessment. The first layer of convolutional layers may only extract some low-level features such as edges, lines, and corners, and more layers of the network can iteratively extract more complex features from low-level features. The constructed applicant reputation evaluation model based on multiplicative long- and short-term recurrent neural network and the hybrid project recommendation model based on conditional variational self-encoder were experimented on Freelancer’s dataset for effectiveness, respectively, and the experimental results showed that the proposed employer hiring decision model, reputation analysis model, and applicant project recommendation model have more reliable performance compared with the existing models. The research results achieve more efficient matching of labor supply and demand in the online labor market and provide technical support for the online labor market platform to realize personalized, intelligent, and accurate services for both employers and applicants.
Meta‐Analysis of Effects of Nutritional Intervention Combined with Calcium Carbonate D3 Tablets on Bone Mineral Density, Bone Metabolism, and Curative Effect in Patients with Osteoporosis
Authors: Ni Hua , Zhang Shuchen , Niu Xiaowen , Dai Sha
Published: June 2022

To investigate the changes in bone mineral density, bone metabolism, and efficacy of nutritional intervention combined with calcium carbonate D3 tablets in patients with osteoporosis, a RevMan 5.2 software meta‐analysis was conducted in this study. According to the therapeutic direction of nutritional intervention combined with calcium carbonate D3 tablets for osteoporosis patients, relevant literature were searched in Wanfang Medical, CNKI, VIP, and PubMed literature databases at home and abroad. Keywords included bone mineral density, bone metabolism, blood calcium (Ca), blood phosphorus (P), osteocalcin (OC), bone mineral density (BMD), serum alkaline phosphatase (ALP), efficacy, osteoporosis, and nutritional intervention. Literature that met the criteria were deleted, and meta‐analysis was performed using RevMan 5.2 software. The results indicate that a total of 10 Chinese literature were included. Compared with the monotherapy group, the clinical efficacy, osteocalcin, BMD, alkaline phosphatase, calcium, and phosphorus were significantly higher in the combination group (P < 0.05). Based on calcium carbonate D3, treatment combined with nutritional intervention can enhance the clinical efficacy, bone metabolism, and bone mineral density of patients with osteoporosis, and nutritional intervention combined with calcium carbonate D3 tablets is a feasible program to promote the recovery of patients with osteoporosis.
Exploring the Application of the Random Matrix Thinking Model in Teaching English Predicate Constructions
Authors: Liu Pengyuan , Wen Jue
Published: June 2022

This paper, the random matrix thinking model, studies the grammatical features of verbs on random matrix and logical relations and designs a model for teaching English predicate constructions by combining random matrix thinking and arithmetic rules. In this paper, an attention mechanism-based English predicate verb recognition method and a BERT-based English predicate verb recognition method are proposed for the characteristics of predicate verbs as the focal point of sentences. Since the attention mechanism can obtain the long-distance semantic dependency information in the sentence, the attention mechanism-based method can effectively improve the recognition performance of the predicate verb compared with the traditional way. The BERT-based English predicative verb recognition model improves the former approach by taking full advantage of the input corpus and improving the model performance. A random matrix-based predicate verb uniqueness discrimination method is proposed for the uniqueness of predicate verbs in sentences. By setting the classification fitting conditions, the data can be optimized to output and fully fit the global identity of the predicate verb in the penalty during the training process, and better results are achieved.
Improved Music Recommendation Algorithm for Deep Neural Network Based on Attention Mechanism
Authors: He Xin
Published: June 2022

With the increasingly close combination of the Internet and people’s production and life, the total amount of global data and information also grows increasingly. In order to save users the time to find their favorite music among many music types, the music recommendation service arises at the historic moment and is widely concerned by scholars. Traditional music recommendation system based on the collaborative filtering algorithm has low recommendation accuracy, poor real-time performance, sparsity, system cold start, and so on. Moreover, the traditional music recommendation algorithm only simply uses user behavior characteristics and does not make good use of user history for listening to audio characteristics. In view of the above question, this section based on the attention mechanism of the deep neural network music recommendation algorithm, through the use of improved MFCC audio data preprocessing, the extracted audio combined with the user’s own portrait features, through the AIN RNN network recommended list, by learning user history listening to songs, improves the model-recommended accuracy.
Fuzzy Applications in Custom Clothing Design Technology Based on Intelligent 3D Simulation Technology
Authors: Ye Xiaolu , Mishaal Ibrahim
Published: June 2022

This article integrates intelligent 3D simulation technology with an online customized clothing system to increase the impact of customized clothing design. The user uses a 3D scanner to scan his own body and acquire 3D body data, which include information of the head, chest, upper limbs, lower limbs, hands, and feet. Furthermore, this work enhances intelligent tracking and recognition technology, enhances the impact of human body parameter collection, and combines the enhanced algorithm to create a personalised clothing design system based on intelligent 3D simulation technology. Through experimental research, it can be seen that the customized clothing design system based on intelligent 3D simulation technology proposed in this paper has good effects and can effectively improve the service quality of online customized clothing.
Condition Detection and Maintenance of Steel-Fiber-Reinforced Concrete Based on Markov Random Matrix
Authors: Liu Hongjiang , Liu Mingyan , Li Yun
Published: June 2022

The condition detection and maintenance of steel-fiber-reinforced concrete (SFRC) involves a combination of qualitative and quantitative assessment methods, while the ineffectiveness of the Markov chain can analyze the fluctuation law of gray fitting accuracy indexes and use this to correct the detection results of the residual gray model, having outstanding advantages. On the basis of summarizing and analyzing previous works of literature, this study expounded the research status and significance of the condition detection and maintenance of SFRC, elaborated the development background, current status, and future challenges of the Markov random matrix, introduced the methods and principles of feature extraction network and loss function, proposed the detection process analysis of SFRC based on Markov random matrix, constructed a detection model of SFRC, analyzed the maintenance monitoring method of SFRC based on Markov random matrix, discussed the maintenance effect evaluation of SFRC, and finally carried out a simulation experiment and its result analysis. The results show that the most important feature of Markov random matrices is the absence of aftereffects, which means that the condition evolution of SFRC can be regarded as a multiple Markov chain. When carrying out the dynamic condition maintenance of SFRC, the maintenance object should be first determined, then the condition detection of the object should be carried out to obtain information characteristics and to assess its condition, and then the condition should be compared with the condition set to determine its position in the set to make fault prediction based on the Markov chain constructed from the set of conditions. Under other excepted standards and maintenance conditions with the increase of steel fiber content, the flexural strength of concrete decreased first and then increased, but the difference of maintenance conditions had obvious influence on the flexural strength of concrete. The results of this paper provide a reference for further research on the condition detection and maintenance of SFRC based on the Markov random matrix.
circIFITM1/miR-802/Foxp1 Axis Participates in Proliferation and Invasion of Lovo Cells
Authors: Wan Yu , He Jinhua , Han Zeping , Wang Shengbo , Zhao Yingying , Zeng Di , Tang Ying , He Yiwei , Zeng Lishan
Published: June 2022

Objective. To explore the role of circIFITM1 and its potential molecular mechanism in colon cancer. Methods. The circIFITM1 in human samples and cell lines of colon cancer was measured via RT-PCR. The cyclicity of circIFITM1 was confirmed by agarose gel electrophoresis and Sanger sequencing, and the stability of circIFITM1 was confirmed by actinomycin D assay. The proliferative and invasive ability was detected by the CCK-8 assay and Transwell assay, respectively. RNA pull-down assay confirmed a combination of circIFITM1 and miRNA. Dual-luciferase reporter gene was used to detect the direct relationship between miRNA and the target gene. Results. circIFITM1 originated from the maternal gene IFITM1and had high stability. It was resistant to processing by actinomycin D. Upregulating circIFITM1 facilitated the proliferation and invasion of Lovo cells, while interfering with circIFITM1 expression inhibited them. circIFITM1 interacted with miR-802, and miR-802 targeted the 3

′

UTR of FOXP1. The overexpression of circIFITM1 downregulated miR-802 and upregulated FOXP1. Conclusion. circIFITM1 facilitates the proliferative and invasive abilities via miR-802/FOXP1 in Lovo cells.
Dialysis Service in the Embattled Tigray Region of Ethiopia: A Call to Action
Authors: Berhe Ephrem , Ross Will , Teka Hale , Abraha Hiluf Ebuy , Wall Lewis
Published: June 2022

Haemodialysis is extremely limited in low-income countries. Access to haemodialysis is further curtailed in areas of active conflict and political instability. Haemodialysis in the Tigray region of Ethiopia has been dramatically affected by the ongoing civil war. Rapid assessment from the data available at Ayder Hospital’s haemodialysis unit registry, 2015–2021, shows that enrollment of patients in the haemodialysis service has plummeted since the war broke out. Patient flow has decreased by 37.3% from the previous yearly average. This is in contrary to the assumption that enrollment would increase because patients could not travel to haemodialysis services in the rest of the country due to the complete blockade. Compared to the prewar period, the mortality rate has doubled in the first year after the war broke out, i.e., 28 deaths out of 110 haemodialysis recipients in 2020 vs. 43 deaths out of 81 haemodialysis recipients in the year 2021. These untoward outcomes reflect the persistent interruption of haemodialysis supplies, lack of transportation to the hospital, lack of financial resources, and the unavailability of basic medications due to the war and the ongoing economic and humanitarian blockade of Tigray in Northern Ethiopia. In the setting of this medical catastrophe, the international community should mobilize to advocate for resumption of life-saving haemodialysis treatment in Ethiopia’s Tigray region and put pressure on the Ethiopian government to allow the passage of life-saving medicines, essential medical equipment, and consumables for haemodialysis into Tigray.
Model Analysis of Environmental and Economic Impacts of a Microgrid Based on the Optimization Method
Authors: Ji Pengxiao
Published: June 2022

In order to improve the synergistic effect of a microgrid and its economic impact, this paper applies the optimization method to the improvement of microgrid operation. On the basis of studying the bilevel optimization theory, this paper applies the bilevel optimization theory to the economic dispatch of the microgrid and constructs a bilevel economic dispatch model of the microgrid considering the environmental benefits. Moreover, considering the environmental benefits of the microgrid two-level economic dispatch model, this paper constructs an intelligent analysis model and uses the deep learning algorithm as the system learning algorithm to improve the system data processing capability. The simulation study verifies that the optimal solution model of the microgrid environment and economic impact based on the optimization method has a good effect, and the method in this paper can effectively improve the microgrid operating environment and economic benefits.
Computer-Aided Virtual Restoration of Frescoes Based on Intelligent Generation of Line Drawings
Authors: Jiang Chao , Jiang Zhen , Shi Daijiao
Published: June 2022

Dunhuang frescoes are one of China’s precious historical and cultural heritages, but this treasure trove of human art has become very fragile due to natural weathering damage and the threat of major natural disasters. Therefore, the preservation of Dunhuang murals has become an urgent task. Digital fresco conservation and restoration work can preserve fresco information permanently, and can use computers to virtually repair frescoes, assist in fresco conservation, assist in fresco copying, virtually evolve the fresco disease process, and virtually display fresco realism. Digital fresco conservation and restoration provides sufficient scientific basis and testing environment for the physical conservation and restoration process of frescoes, and minimizes the danger of conservation work. This paper presents a new approach to digital conservation and virtual restoration of frescoes. Based on research by Dunhuang artists on the mural restoration process, research on pigment composition, knowledge accumulated by the artists’ experience, and some of the better-preserved murals, digital image processing, computer graphics, artificial intelligence, and other technologies are synthesized to achieve the virtual restoration of murals. Aiming at the current situation of Dunhuang mural restoration, combined with the actual painting process, this paper puts forward a set of computer-aided mural restoration solution based on intelligent generation of line graph. It can be well applied to the actual restoration work. It is a new attempt of computer-aided restoration of ancient paintings.
Biomarkers of Oxidative Stress Tethered to Cardiovascular Diseases
Authors: Panda Poojarani , Verma Henu Kumar , Lakkakula Saikrishna , Merchant Neha , Kadir Fairrul , Rahman Shamsur , Jeffree Mohammad Saffree , Lakkakula Bhaskar V. K. S. , Rao Pasupuleti Visweswara
Published: June 2022

Cardiovascular disease (CVD) is a broad term that incorporated a group of conditions that affect the blood vessels and the heart. CVD is a foremost cause of fatalities around the world. Multiple pathophysiological mechanisms are involved in CVD; however, oxidative stress plays a vital role in generating reactive oxygen species (ROS). Oxidative stress occurs when the concentration of oxidants exceeds the potency of antioxidants within the body while producing reactive nitrogen species (RNS). ROS generated by oxidative stress disrupts cell signaling, DNA damage, lipids, and proteins, thereby resulting in inflammation and apoptosis. Mitochondria is the primary source of ROS production within cells. Increased ROS production reduces nitric oxide (NO) bioavailability, which elevates vasoconstriction within the arteries and contributes to the development of hypertension. ROS production has also been linked to the development of atherosclerotic plaque. Antioxidants can decrease oxidative stress in the body; however, various therapeutic drugs have been designed to treat oxidative stress damage due to CVD. The present review provides a detailed narrative of the oxidative stress and ROS generation with a primary focus on the oxidative stress biomarker and its association with CVD. We have also discussed the complex relationship between inflammation and endothelial dysfunction in CVD as well as oxidative stress-induced obesity in CVD. Finally, we discussed the role of antioxidants in reducing oxidative stress in CVD.
Inhibition of Karyopherin β1-Mediated Nuclear Import Disrupts Oncogenic Lineage-Defining Transcription Factor Activity in Small Cell Lung Cancer
Authors: Kelenis Demetra P. , Rodarte Kathia E. , Kollipara Rahul K. , Pozo Karine , Choudhuri Shreoshi Pal , Spainhower Kyle B. , Wait Sarah J. , Stastny Victor , Oliver Trudy G. , Johnson Jane E.
Published: June 2022

Genomic studies support the classification of small cell lung cancer (SCLC) into subtypes based on the expression of lineage-defining transcription factors ASCL1 and NEUROD1, which together are expressed in ∼86% of SCLC. ASCL1 and NEUROD1 activate SCLC oncogene expression, drive distinct transcriptional programs, and maintain the in vitro growth and oncogenic properties of ASCL1 or NEUROD1-expressing SCLC. ASCL1 is also required for tumor formation in SCLC mouse models. A strategy to inhibit the activity of these oncogenic drivers may therefore provide both a targeted therapy for the predominant SCLC subtypes and a tool to investigate the underlying lineage plasticity of established SCLC tumors. However, there are no known agents that inhibit ASCL1 or NEUROD1 function. In this study, we identify a novel strategy to pharmacologically target ASCL1 and NEUROD1 activity in SCLC by exploiting the nuclear localization required for the function of these transcription factors. Karyopherin β1 (KPNB1) was identified as a nuclear import receptor for both ASCL1 and NEUROD1 in SCLC, and inhibition of KPNB1 led to impaired ASCL1 and NEUROD1 nuclear accumulation and transcriptional activity. Pharmacologic targeting of KPNB1 preferentially disrupted the growth of ASCL1+ and NEUROD1+ SCLC cells in vitro and suppressed ASCL1+ tumor growth in vivo, an effect mediated by a combination of impaired ASCL1 downstream target expression, cell-cycle activity, and proteostasis. These findings broaden the support for targeting nuclear transport as an anticancer therapeutic strategy and have implications for targeting lineage-transcription factors in tumors beyond SCLC.

Significance:

The identification of KPNB1 as a nuclear import receptor for lineage-defining transcription factors in SCLC reveals a viable therapeutic strategy for cancer treatment.
Distinct Transcriptional Programs in Ascitic and Solid Cancer Cells Induce Different Responses to Chemotherapy in High-Grade Serous Ovarian Cancer
Authors: Loret Nele , Vandamme Niels , De Coninck Jordy , Taminau Joachim , De Clercq Kato , Blancke Gillian , Jonckheere Sven , Goossens Steven , Lemeire Kelly , De Prijck Sofie , Verstaen Kevin , Seurinck Ruth , Van Dorpe Jo , Weyers Steven , Denys Hannelore , Van de Vijver Koen , Lambrecht Bart N. , Tummers Philippe , Saeys Yvan , Berx Geert
Published: June 2022

High-grade serous ovarian cancer (HGSOC) is responsible for the largest number of ovarian cancer deaths. The frequent therapy-resistant relapses necessitate a better understanding of mechanisms driving therapy resistance. Therefore, we mapped more than a hundred thousand cells of HGSOC patients in different phases of the disease, using single-cell RNA sequencing. Within patients, we compared chemonaive with chemotreated samples. As such, we were able to create a single-cell atlas of different HGSOC lesions and their treatment. This revealed a high intrapatient concordance between spatially distinct metastases. In addition, we found remarkable baseline differences in transcriptomics of ascitic and solid cancer cells, resulting in a different response to chemotherapy. Moreover, we discovered different robust subtypes of cancer-associated fibroblasts (CAF) in all patients. Besides inflammatory CAFs, vascular CAFs, and matrix CAFs, we identified a new CAF subtype that was characterized by high expression of STAR, TSPAN8, and ALDH1A1 and clearly enriched after chemotherapy. Together, tumor heterogeneity in both cancer and stromal cells contributes to therapy resistance in HGSOC and could form the basis of novel therapeutic strategies that differentiate between ascitic and solid disease.

Implications:

The newly characterized differences between ascitic and solid cancer cells before and after chemotherapy could inform novel treatment strategies for metastatic HGSOC.
Thomas Paine in French: Translations, Transfers and Circulations in the Age of Revolutions (1776–1793)
Authors: Lounissi Carine
Published: June 2022

This essay looks into the publishing history of three major works by Thomas Paine in French, Common Sense (1776), the Letter to the Abbe Raynal (1782) and Rights of Man (1791–92). Although it is often taken for granted that Paine’s writings circulated to a great extent in the Atlantic world, the translation of these writings in French has not been studied in depth. These translations appeared at three key moments of French, American and Atlantic history. The strategies used by the translators and those who commissioned these translations will be studied in an approach combining book history, the history of print culture, as well as political and diplomatic history. By relying on new archival material, especially manuscripts of translations and letters, I intend to offer a new insight into the translation and circulation of Paine’s writings in French and in France before and after he settled there in 1792.
Yoked by Violence: The Paxton Boys, Representation, and a “humble Petition”
Authors: Gordon Scott Paul
Published: June 2022

A 1764 manuscript petition, a “humble Petition” from Lancaster County, differs substantially from the published Remonstrance that has been taken to represent the views of the Paxton Boys, who murdered 20 Native Americans in Lancaster County and attempted to destroy 140 more in the Philadelphia Barracks. The Remonstrance, which began with a Whiggish demand for increased legislative representation for frontier counties, has led historians to describe the Paxton Boys as frontier democrats who marched on Philadelphia to present grievances to the provincial government. The “humble Petition,” however, has little interest in legislative representation. It resembles the Declaration that defiantly defends the murders and threatens more. The “humble Petition,” then, enables us to reposition the Remonstrance as an expression of political elites—an early entry in the pamphlet war that followed the murders—who appropriated the Lancaster County murders to adjust power in Pennsylvania by means of the 1764 elections.
Time-varying disturbance observer based on regulating boundary layer thickness sliding mode control for microelectromechanical systems gyroscope
Authors: Giap Van Nam , Vu Hong-Son , Huang Shyh-Chour
Published: June 2022

This paper presents a robust control methodology for a microelectromechanical systems gyroscope, which named time-varying disturbance observer based on regulating boundary layer thickness sliding mode control First, the micro electromechanical systems gyroscope mathematical model has been analyzed. Second, time-varying disturbance observer (T-V DOBs) was constructed for observing the unwanted signals from inside and outside of the system, which is well known as disturbance and uncertainty estimation. The time-varying disturbance observer has been constructed based on the basic nonlinear disturbance observer, the estimated disturbance has been used to compensate the outside disturbance and inside uncertainty. Third, the proportional integral derivative sliding mode surface was used to construct the equivalent control, afterward the switching control value of sliding mode control was selected following the regulating boundary layer thickness by using the fuzzy logic control to construct the switching boundary thickness. The simulation results has been archived by using MATLAB software. The chattering was significant goes to zero, and disturbance was mostly rejected. The convergence condition was proved based on the Lyapunov law.
Operationalizing integrated needs-based workforce planning at Nova Scotia Health in response to the COVID-19 pandemic
Authors: MacKenzie Adrian , MacQuarrie Cindy , Murphy Matthew , Piers Geoff , Philopoulos Katrina , Carrigan Steven , Joice Jesse , Kapra Junaid , Casault Cathy Ann , MacDougall Jennifer , Langley Joanne M. , Tomblin Murphy Gail
Published: June 2022

This paper documents Nova Scotia Health’s progress in operationalizing integrated needs-based workforce planning as part of its ongoing response to the pandemic. A multidisciplinary workforce planning team with representation spanning key portfolios was created to facilitate the organization’s response to the pandemic. Analyses applied early in Wave 3 of the pandemic showed large projected shortages in several professions and identified which services would likely be scarcest among the available workforce relative to patient need. Based on these results, the workforce planning team recommended and supported operational teams in implementing a multi-faceted set of interventions aimed at increasing the availability of individuals with these competencies. These interventions collectively yielded an adequate supply of additional competent personnel to meet the needs of COVID-19 inpatients across the province through the third wave of the pandemic. Lessons learned are proving critical to maintaining core operations during Wave 4 of the pandemic.
Impact of velocity slip and heat source on tangent hyperbolic nanofluid flow over an electromagnetic surface with Soret effect and variable suction/injection
Authors: Asogwa Kanayo Kenneth , Shankar Goud B
Published: June 2022

The applicability and significance of tangent hyperbolic fluid in several engineering fields are encouraging, and the examination of the Soret effect phenomena on non-Newtonian fluids with thermal transport mechanisms is becoming more widely accepted. The effect of velocity slip on electromagnetohydrodynamic (EMHD) of tangent hyperbolic flow through a Riga plate with a heat source, suction/injection, and reactive energy, on the other hand, is unknown. The current research configuration model investigates the impact of Soret, suction/injection, activation energy, and heat source on the EMHD flow of hyperbolic tangent nanofluid via a stretched sheet. The governing equations of PDEs are transmuted into nonlinear ODEs with adequate similarity variables. The numerical output of the resulting Ordinary differential equations is performed using the MATLAB bvp4c built-in. The implication of rising attributes on temperature, velocity, concentration shapes, drag force coefficient, Sherwood number, and Nusselt number is graphically and numerically depicted. As a result, the derived findings are validated by comparing them to previous output. Remarkably, the increase in temperature of the hyperbolic tangential nanofluid flow is caused by a rise in slip velocity and Weissenberg numbers, which has a reverse effect on Suction. The EMHD parameter, on the other hand, enhances the velocity distribution, which impacts the slip velocity parameter.
Cultures Crossing: The Power of Habit in Delaying Gratification
Authors: Yanaoka Kaichi , Michaelson Laura E. , Guild Ryan Mori , Dostart Grace , Yonehiro Jade , Saito Satoru , Munakata Yuko
Published: June 2022

Resisting immediate temptations in favor of larger later rewards predicts academic success, socioemotional competence, and health. These links with delaying gratification appear from early childhood and have been explained by cognitive and social factors that help override tendencies toward immediate gratification. However, some tendencies may actually promote delaying gratification. We assessed children’s delaying gratification for different rewards across two cultures that differ in customs around waiting. Consistent with our preregistered prediction, results showed that children in Japan ( n = 80) delayed gratification longer for food than for gifts, whereas children in the United States ( n = 58) delayed longer for gifts than for food. This interaction may reflect cultural differences: Waiting to eat is emphasized more in Japan than in the United States, whereas waiting to open gifts is emphasized more in the United States than in Japan. These findings suggest that culturally specific habits support delaying gratification, providing a new way to understand why individuals delay gratification and why this behavior predicts life success.
Quantification of Tumor Abnormal Proteins in the Diagnosis and Postoperative Prognostic Evaluation of Gastric Cancer
Authors: Gu Chao , Xie Li , Li Bowen , Zhang Lu , Li Fengyuan , Wang Weizhi , Su Jiang , Xu Zekuan
Published: June 2022

Background:

Abnormal glycosylation of proteins has been identified in almost all types of cancers and is closely related to the cancer progression, metastasis, and survival of cancer patients. This study was to explore the values of serum tumor abnormal protein (TAP), an abnormal glycochain protein, in the diagnosis and prognosis of gastric cancer (GC).

Methods:

A total of 335 GC patients were included as the study group, and another 335 subjects served as the control group. Tumor abnormal protein expression was compared between the 2 groups. Correlation analysis was used to assess the correlations of TAP with clinicopathological factors. Gastric cancer patients were divided into training set and test set at a ratio of 2:1. Univariate and multivariate Cox regression analyses in training set were used to evaluate the prognostic significance of TAP in GC patients and explore the independent risk factors for overall survival (OS) and disease-free survival (DFS) to establish a prognostic model, followed by testing of the model. According to the median of TAP, 335 GC patients were divided into 2 groups to plot the survival curves of OS and DFS.

Results:

Tumor abnormal protein expression in the study group was significantly higher than in the control group. Taking the best cut-off value of TAP (110.128 μm2) as the diagnostic criteria for GC, the sensitivity and specificity of TAP were 83.58% and 97.61%, respectively, and the area under the receiver operating characteristics (ROC) curve was 0.935, which was not inferior to computed tomography (CT). Tumor abnormal protein expression was an independent risk factor for OS and DFS. The prognostic predictive value of TAP was better than that of pathological stage in GC patients. The model with TAP was effective in predicting prognosis.

Conclusion:

Tumor abnormal protein is an effective indicator for early screening and prognostic evaluation of GC and can also assist the clinical diagnosis and treatment of GC.
Tourist arrivals and overnight stays along the Croatian Adriatic Coast: Changes in persistence and seasonality from the COVID-19 disruption
Authors: Payne James E , Gil-Alana Luis A , Mervar Andrea , Goenechea Maria
Published: June 2022

This study examines the changes in the persistence and seasonality inherent in the Croatian tourism sector in light of the onset of the COVID-19 pandemic. First, we differentiate between the changes in the persistence and seasonal behavior with respect to domestic and foreign tourist arrivals and overnight stays. Second, with nearly 90% of the Croatian tourism sector tied to the seven counties along the Adriatic coast we investigate the differential regional impact on persistence and seasonal behavior. Our results indicate the disruption was much more prominent for foreign tourist arrivals and overnight stays relative to domestic tourist arrivals and overnight stays with respect to the increased persistence associated with the onset of the pandemic along with the seasonal autoregressive component reduced considerably.
Professional Sports Events and Public Spending: Evidence from Municipal Police Budgets
Authors: Pyun Hyunwoong , Humphreys Brad R. , Khalil Umair
Published: June 2022

Prior evidence reveals a causal relationship between sporting events and crime. If sporting events increase crime, they also increase public spending on policing. We analyze the crime-police spending relationship using data from the Annual Survey of Public Employment & Payroll over the periods 1979–1995 and 1997–2010 for a sample of 52 US municipalities with and without teams. Reduced form regression models reveal that police employment increases with the arrival and departure of an NFL team as well as with the number of postseason games played. We argue that both these outcomes generate plausibly exogenous variation in sports-related demand for policing.
Nurse Migration in Australia, Germany, and the UK: A Rapid Evidence Assessment of Empirical Research Involving Migrant Nurses
Authors: Smith Jamie B , Herinek Doreen , Woodward-Kron Robyn , Ewers Michael
Published: June 2022

Forecasts predict a growing shortage of skilled nursing staff in countries worldwide. Nurse migration is already a common strategy used to address nursing workforce needs. Germany, the UK, and Australia are reviewed here as examples of destination countries for nurse migrants. Agreements exist between countries to facilitate nurse migration; however, it is not evident how nurse migrants have contributed to data on which these arrangements are based. We examined existing primary research on nurse migration, including educational needs and initiatives to support policymakers’, stakeholders’, and health professions educators’ decisions on measures for ethical and sustainable nurse migration. We conducted a rapid evidence assessment to review available empirical research data which involved, was developed with, or considered migrant nurses to address the research question: what are the findings of research that directly involves migrant nurses in producing primary research data? A total of 56 papers were included. Four main themes were identified in this research data: Research does not clearly define what is meant by the term migrant nurses; discrimination is often reported by migrant nurses; language and communication competencies are important; and structured integration programs are highly valued by migrant nurses and destination healthcare employers.

Migrant nurses continue to experience discrimination and reduced career opportunities and therefore should be included in research about them to better inform policy. Structured integration programs can improve the experience of migrant nurses by providing language support (if necessary), a country-specific bridging program and help with organisational hurdles. Not only researching migrant nurses but making them active partners in research is of great importance for successful, ethical, and sustainable migration policies. A broader evidence base, especially with regard to the views and experiences of migrant nurses and their educational support needs, should be promoted to make future immigration policy more needs-based, sustainable and ethically acceptable.
A provably secure and lightweight mutual authentication protocol in fog-enabled social Internet of vehicles
Authors: Li Zhen , Miao Qingkai , Chaudhry Shehzad Ashraf , Chen Chien-Ming
Published: June 2022

The Internet of vehicles technology has developed rapidly in recent years and has become increasingly important. The social Internet of vehicles provides better resources and services for the development of the Internet of vehicles and provides better experience for users. However, there are still many security problems in social vehicle networking environments. Once the vehicle is networked, the biggest problem is data security according to the three levels of data collection, intelligent analysis, and decision control of the Internet of vehicles. Recently, Wu et al. proposed a lightweight vehicle social network security authentication protocol based on fog nodes. They claimed that their security authentication protocol could resist various attacks. However, we found that their authentication protocols are vulnerable to internal attacks, smart card theft attacks, and lack perfect forward security. In this study, we propose a new protocol to overcome these limitations. Finally, security and performance analyses show that our protocol perfectly overcomes these limitations and exhibits excellent performance and efficiency.
Effect of temperature and strain rate fluctuation on forming limit curve of 5083 Al-Mg alloy sheet
Authors: Hou Bo , Huang Yong , Ding Mingming , Dong Hongji
Published: June 2022

The temperature and strain rate have significant effect on the formability of Al-Mg alloy sheet during warm forming process. Forming limit curve (FLC) is widely used for predicting sheet failure in warm forming simulation. However, the current simulation and optimization may lead to non-robust results, due to not considering the variation of FLC caused by the randomness of sheet temperature and deformation velocity, etc. In this study, a theoretical approach is developed to predict the temperature and strain rate dependent FLC. Backofen constitutive equation is extended, in which the material parameters are fitted as a function of temperature and strain rate by response surface method (RSM). Based on the M-K theory and Logan-Hosford yield criterion, the FLCs of 5083 Al-Mg sheet under different temperature and strain rate conditions are predicted and compared with the experimental results. By integrating the theoretical approach and Monte-Carlo simulation, the temperature and strain rate uncertainties are involved in FLC prediction to reflect manufacturing reality. The upper and lower margins of the FLC variation band are established, which covers the dispersion of the limit strains propagate from temperature and strain rate fluctuation. It is shown that under the combination of a higher temperature and a lower strain rate, the FLC of 5083 Al-Mg sheet is quite sensitive to small fluctuation of temperature or strain rate. In a particular temperature range (413 K–453 K), the FLC of 5083 Al-Mg alloy sheet becomes less sensitive to the fluctuation of temperature or strain rate. All these findings will advance the understanding of the design quality and robustness of the warm forming process.
An insight into ultrasonic vibration assisted conventional manufacturing processes: A comprehensive review
Authors: Kumar Sudhir , Kumar Dinesh , Singh Inderjeet , Rath Debabrata
Published: June 2022

Conventional manufacturing processes such as casting, forming, welding, machining, etc., have been optimized using different improvement techniques in the last few decades. The alterations in these processes have led to more efficient and productive manufacturing practices for the industry. One of these modification techniques is the deployment of ultrasonic vibrations in conventional manufacturing processes. In the last few decades, ultrasonic vibration assistance to manufacturing processes has seen an uprise and was the point of attraction for different research groups. Several improvements by utilizing ultrasonic vibration in manufacturing practices have been reported by the authors in the past. In this article, an attempt has been made to review all the reported techniques for different conventional processes viz. casting, forming, machining, and welding. The article outlines different research findings from the extensive work on ultrasonic vibration assistance showcasing the improved mechanical and morphological properties. The improvisation in the performance parameters viz. friction reduction, stress reduction, tool wear, surface finish, and grain structure has been witnessed by ultrasonic assistance in contrast to simple manufacturing processes. The outcomes have been summarized along with the optimized set of parameters from various studies.
In vitro and in silico Evaluation of ACE2 and LOX Inhibitory Activity of Eucalyptus Essential Oils, 1,8-Cineole, and Citronellal
Authors: Ak Sakallı Ezgi , Teralı Kerem , Karadağ Ayşe Esra , Biltekin Sevde Nur , Koşar Müberra , Demirci Betül , Hüsnü Can Başer K. , Demirci Fatih
Published: June 2022

Eucalyptus essential oils are well-known and used especially in upper respiratory tract pathologies or diseases as herbal drug preparations. In the present study, the in vitro angiotensin-converting enzyme 2 (ACE2) and lipoxygenase (LOX) enzyme inhibitory potentials of commercial Eucalyptus globulus Labill. and Eucalyptus citriodora Hook. essential oils were evaluated for their potential anti-coronavirus disease 2019 (COVID-19), and anti-inflammatory effects. In addition, the major components, 1,8-cineole and citronellal, were evaluated for their ability to bind at the active site of either human ACE2 or human 5-LOX using an in silico setting. Before activity evaluation, Eucalyptus globulus and E citriodora essential oils were analysed by GC/FID and GC/MS, where 1,8-cineole (30%), and citronellal (80%) were identified as the major components, respectively. The in vitro ACE2 inhibition was calculated as 94.9% for E globulus, and that of E citriodora essential oil as 83.4%. In vitro LOX inhibition experiments for essential oils in the same order showed inhibitions of 71.3 and 91.4%, respectively, at 20 µg/mL test concentrations in microplate-based fluorometric assays. In addition, protein–ligand docking, and interaction profiling was used to gain structural and mechanistic insights into the in silico ACE2 and LOX inhibitory potentials of the major Eucalyptus essential oil constituents, 1,8-cineole as well as citronellal. The resulting data supported the in vitro findings; however, further in vivo studies are needed to confirm the activity.
Adapting to transradial approach in cerebral angiography: Factors influencing successful cannulation
Authors: Yaser Arafath Mohamed , Bhatia Vikas , Kumar Ajay , Chauhan Rajeev , Prabhakar Anuj , Gupta SK , Singh Paramjeet
Published: June 2022

Background

To evaluate factors that influence the successful cannulation of intracranial vessels using a transradial approach.

Methods

A total of 61 transradial diagnostic angiograms were evaluated in a tertiary care center from July 2020 to December 2021. We evaluated the learning curve and aortic arch vessel factors that may influence the cannulation of intracranial major vessels using a transradial approach.

Results

Learning curve for the procedure was established after 21 cases. We were successful in cannulating the supra-aortic arteries except in 4 cases where we were unable to cannulate the left VA (vertebral artery). Significant positive correlation was seen between time to Sim (Simmons curve) formation and aortic arch diameter ( p = .002). Significant positive correlation was also seen between left VA take-off angle and time to cannulate left VA ( p = .001) and negative correlation was noted between left CCA (common carotid artery) take-off angle and time to cannulate left CCA ( p = .001).

Conclusion

Transradial approach is a feasible and safe approach for performing cerebral angiography. Multiple factors can influence the procedure time and successful cannulation of intracranial vessels. With the availability of radial specific hardware in the future, procedural success and time taken to complete the procedure may improve.
An evaluation of the effects of ascorbic acid on the endothelium of coronary and aorta arteries in lead-intoxicated rabbits
Authors: Vahedi Parviz , Rajabzadeh Asghar , Soleimani Ali
Published: June 2022

Objectives:

Lead exposure has destructive effects on some organs. It may produce a variety of toxic effects on endothelial cells of the vascular system. Any changes or damages to endothelial cells may lead to cardiovascular diseases, particularly the formation of atherosclerotic plaques. The aim of this study was to determine the ameliorative effects of ascorbic acid on the endothelium of coronary and aorta arteries in lead-exposed rabbits.

Methods:

In this study, 30 white male rabbits of New Zealand race (weighing about 1.6–2 kg and 5 months old) were used and divided randomly into three groups: Group 1 ( N = 10) that served as the control and received water and normal diet, Group 2 ( N = 10) was exposed to lead acetate 547 ppm (5 mg/L) daily for 40 days, and Group 3 ( N = 10) received vitamin C (500 mg/kg) and underwent the same duration of lead exposure (5 mg/L) daily for 40 days. The levels of cholesterol, triglyceride, low-density lipoprotein, and high-density lipoprotein were measured using spectrophotometry, and the level of blood lead was calculated using a lead analyzer (Magellan Diagnostics, USA). The animals were anesthetized by pentobarbital (50 mg/kg). Subsequently, they were sacrificed, and their thoracic aortas and coronary arteries were removed. Then fixation, tissue processing, histological sectioning, and H & E staining were carried out. Finally, the sections were studied using light microscopy. The results were analyzed using the Mann–Whitney test.

Results:

The results indicated that ascorbic acid could reduce the destructive effects of lead on vascular endothelial cells and prevent the formation of atherosclerotic plaques in coronary and aorta arteries.

Conclusion:

The results of this study confirm the beneficial effects of ascorbic acid against the destructive effects of lead on vascular endothelial cells. Hence, it could be proposed as a potential prophylactic treatment for the amelioration of lead toxicity, prevention of atherosclerosis, and improvement of endothelial cells dysfunction.
Volunteer Motivations in Military Sports Events: The Case of 2019 Military World Games
Authors: Ye Tao , Cheng Xiaoyu , Chen Wei , Li Yanyan
Published: June 2022

The 2019 Military World Games was the largest special sports event in the history of Military Sports Events. Volunteers as a soft infrastructure play a critical role in the success of the Military World Games. However, few systematic studies have been conducted on volunteer motivation of Military World Games. Drawing on the social identity theory, a theoretical model has been developed, which includes a new theme-related motivation of love of military based on the version of VMS-ISE scale. Through investigating 2,114 respondents, results show that motivations of expression of values, patriotism and city involvement, interpersonal contacts, personal growth, love of sport, and love of military have positively impact on volunteer satisfaction. Especially, volunteers with the deep passion of military sport would highly increase volunteer satisfaction. Follow-up analyses may contribute a deeper understanding and practical guidance of organizers to recruit and manage volunteers in special sport events with the certain theme.