bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of COVID-19 on ICU nurses’ psychology and influencing factors under COVID-19’s normalization, prevention and control: A cross-sectional survey
Authors: DONG YUE , BIAN WEINA , CHENG JUNXIANG , LU XUAN , XU PING , MA LIANG 
Published: April 2023

Abstract
Background: The first-line ICU nurses still play an important role in the nursing of patients diagnosed by designated hospitals during the normalization prevention and control of COVID-19. Discussing the mental health status of the first-line ICU nurses will help to provide more accurate measures to improve the mental status of the first-line ICU nurses and improve the quality of nursing.
Aims: To explore the impact and possible influencing factors of the novel coronavirus (COVID-19) on the psychology of ICU nurses under the normalization, prevention and control.
Design: A cross-sectional survey.
Method: We chose 40 ICU nurses working in designated hospitals for novel coronavirus pneumonia in October to December of 2021. A post-traumatic stress disorder survey scale and questionnaire were used to investigate the situation and stressors of first-line ICU nurses.
Results: The average score on post-traumatic stress disorder of first-line ICU nurses was(21.68 + 6.76 ) points under the normalization of prevention and control of COVID-19. Two nurses scored 38 points and had significant clinical symptoms, making the incidence of post-traumatic stress disorder 5%. The main stressors included the discomfort of wearing protective equipment and the concern for relatives at home.
Conclusions: This study shows COVID-19 has little effect on the mental health of front-line ICU nurses and exerts a lighter degree of pressure during the normalization of COVID-19. We can also further improve the psychological status of front-line ICU nurses by improving the quality of protective equipment, increasing ICU staff, obtaining the understanding and support of family members, hierarchical training, and the care and support of managers to further improve the quality of nursing.
Investigation of XPD, miR-145 and miR-770 expression in patients with end-stage renal disease
Authors: Citak Elif , Yalin Serkan Feyyaz , Riza Mehmet , Guven Mehmet 
Published: April 2023

Abstract
Background: The effective maintenance of genome integrity and fidelity is vital for the normal function of our tissues and organs, and the prevention of diseases. DNA repair pathways maintain genome stability, and the adequacy of genes acting in these pathways is essential for disease suppression and direct treatment responses. Chronic kidney disease is characterized by high levels of genomic damage. In this study, we examined the expression levels of the XPDgene, which plays a role in the NER repair mechanism, and the expression levels of miR-145 and miR-770 genes, which play a role in the regulation of the expression of the XPD gene, in hemodialysis patients with (n=42) and without malignancy (n=9) in pre- and post-dialysis conditions. We also evaluated these values with the clinical findings of the patients.
Methods & Results: Gene expression analysis was performed by real-time polymerase chain reaction (qRT-PCR). Compared to the control group (2.06 ± 0.32), the XPD gene expression was lower in the pre-dialysis condition both in hemodialysis patients without cancer (1.24 ± 0.18; p=0.02) and in hemodialysis patients with cancer (0.82 ± 0.114; p=0.001). On the other hand, we found that miR-145and miR-770 expression levels were high in both groups. We also found that expression levels were affected by dialysis processes. A statistically significant positive correlation was found between miR-145 and mir770 expression levels in the pre-dialysis group of patients with (r=-0.988. p=0.0001) and without (r=-0.934. p=0.0001) malignancy.
Conclusions: Studies on DNA damage repair in the kidney will help develop strategies to protect kidney function against kidney diseases.
Assignment of probabilities to the production rules of a conjunctive grammar
Authors: K Kanchan Devi , Subramanian Arumugam 
Published: April 2023

Abstract
The assignment of probabilities to the production rules of a conjunctive grammar which yields a probabilistic conjunctive grammar is a subtle task. We use the maximum likelihood estimation to obtain the probabilities for each production rule and prove that this assignment gives a probabilistic conjunctive grammar.
Mathematics Subject Classification Number: 68Q45
Potential Mechanism of Curcumin and Resveratrol against SARS-CoV-2
Authors: Wu Wei , Wu Junxi , Ji Xuxu , Liu Ji , Liu Bin , Geng Fuchang 
Published: April 2023

Abstract
Recently, World Health Organization predicted a near end of COVID-19 pandemic. However, the prediction should be interpreted cautiously. Due to SARS-CoV-2 continuous mutation-evolve, limited durability of infection-acquired protection in individuals with hybrid immunity, and the effects of long COVID-19 or Post-COVID-19 syndrome, COVID-19 may continue to be a worldwide threat. Alternative therapeutics are incorporated into some countries’ health guidelines for COVID-19. Qiannan herbal, an ancient medical book of Yi Nationality in China, recorded that grapes and turmeric were often used to treat respiratory diseases. Curcumin and resveratrol are the primary bioactive compounds in turmeric and grapes, respectively. The clinical trials confirmed that curcumin or resveratrol supplementation could cause moderate or marked improvements in COVID-19 patients. Exploring the potential mechanisms is of great significance. This study found that curcumin and resveratrol could effectively inhibit SARS-CoV-23CLpro activity and spike protein-mediated cell entry. Curcumin and resveratrol could significantly alleviate spike protein-mediated cytokine storm via inhibiting over-activation of NFKB, and effectively ameliorate spike protein-mediated oxidative stress through scavenging ROS and enhancing function of antioxidation system. The combined treatment showed a better effect than alone treatment. Therefore, curcumin and resveratrol could inhibit SARS-CoV-23C-like proteinase activity and Spike protein-mediated cell entry, cytokine storm, and oxidative stress.
Could be NCOA5a Novel Candidate Gene Playing a Role in MS Disease Susceptibility?
Authors: Rustemoglu Husniye , Arslan Erdem , Atasever Sema , Cevik Betul , Taspinar Filiz , Turhan Ahmet Bülent , Rüstemoğlu Aydın 
Published: April 2023

Abstract
Background Multiple sclerosis (MS) is an inflammatory immune-mediated demyelinating disease which characterized a challenging and disabling condition. It is known that environmental and genetic factors play a role in directing the disease state. Recent studies have shown that nuclear cofactor genes may play a role in the MS pathogenesis. NCOA5 is a nuclear receptor coactivator independent of AF2 that modulate ERa-mediated transcription. NCOA5 gene is also involved in the pathogenesis of various diseases such as psoriasis, Behçet's disease and cancer.Methods and Results We were investigated the relationship between the NCOA5 gene rs2903908 polymorphism and MS disease on 157 unrelated MS patients and 160 healthy controls by RT-PCR. The frequency of CC, CT, and TT genotypes was 19.87%, 37.82%, and 42.31% for the MS group while 5.63%, 43.75%, and 50.62% control group, respectively. In the obtained results, CC genotype and C allele were found to be significantly higher in the patient group (p = 0.0002 and 0.003, respectively). In particular, the fact that the CC genotype was found to be significantly higher in the patient group compared to the control group (p = 0.0002) and that it had a statistically significantly higher OR value (OR,95%CI = 4.16, 1.91–9.05) suggests that the C allele may recessively predispose to the MS disease for this polymorphism.Conclusions These results suggest for the first time in the literature that, the NCOA5 gene may have an effect on the occurrence MS disease through different molecular pathways which discussed in the manuscript.
Efficacy and Safety of Adalimumab in Pediatric Patients With Crohn’s Disease: A Systematic Review and Meta- analysis
Authors: Chen Bin , Zou Zhuan , Zhang Xiaoyan , Xiao Dongqiong , Li Xihong 
Published: April 2023

Abstract
Background:
There is no curative treatment for childhood Crohn’s disease (CD). We conducted this meta-analysis to validate the efficacy and safety of adalimumab (ADA) in pediatric patients with CD.
Methods:
We searched and investigated all relevant studies in the PubMed, Web of Science, Embase, and Cochrane Library databases. Primary outcomes were induction (≤12 week) and maintenance (up to 48 week) of remission and response. Secondary outcomes were severe adverse events, opportunistic infections to adalimumab (ADA). The Cochrane bias assessment tool was used to assess the risk of bias in randomized controlled trials (RCTs). The methodological quality of single-arm studies was assessed using the methodological index for non-randomized studies (MINORS) tool.
Results:
A total of 10 clinical trials involving 885 patients were identified. Results indicate that 59% (95% confidence interval [CI]: 39%–80%) of the subjects treated with ADA achieved induction of remission and response 60% (95% CI: 35%–86%), 57% (95% CI: 44%–70%) achieved maintenance of remission, 63% (95% CI: 26%–69%) achieved maintenance of response.
Conclusion:
Current evidence indicates that ADA is effective in children and adolescents with CD and adverse events are varied but usually not sever.
Systematic Review Registration:
https://www.crd.york.ac.uk/prospero/, identifier
CRD42023402199.
Effects of experimental bleaching gels containing co-doped titanium dioxide and niobium pentoxide combined with violet light
Authors: Matos Iago Cesar Ribeiro Teles , Kury Matheus , Melo Priscila Borges Gobbo , Souza Leticia Vasconcelos Silva , Florez Fernando Luíz Estaban , Cavalli Vanessa 
Published: April 2023

Abstract
Objectives
To evaluate the bleaching potential of 6% hydrogen peroxide (6% HP) gels containing NF_TiO2 or Nb2O5 irradiated with a violet LED light, and the effects on enamel mineral content and surface morphology.
Methods
Particles were synthesized, and experimental gels were chemically analyzed by preliminary and accelerated stability tests, pH, and HP decomposition rate. Enamel blocks were treated with 6% HP gels containing (n = 10): 5% NF_ TiO2, 5% Nb2O5, 2.5% NF_ TiO2 + 2.5% Nb2O5 or without particles (6% HP), irradiated or not with LED, and the control was treated with 35% HP. Color (∆E00) and whitening index (∆WID) variations, surface microhardness (SH), average roughness (∆Ra), Ca-P concentration (EDS), and enamel morphology (SEM) were assessed. Bleaching was performed in 3 sessions of 30 minutes and 7-day intervals. Data were submitted to two- (pH, decomposition rate, ∆E00, and ∆WID) or three-way ANOVA and Bonferroni (SH), Kruskal-Wallis (∆Ra), and Dunnet (α = 0.05).
Results
No changes in the gel’s color, odor, or translucency were observed, pH (6 to 6.5) remained stable over time, and light irradiation boosted the HP decomposition rate. NF_TiO2 and Nb2O5-containing gels displayed higher ΔE00 and ΔWID when light-irradiated (p < 0.05). Nb2O5 and Nb2O5 + TiO2 decreased enamel SH (p < 0.05), but no SH changes were found among the groups (p > 0.05). No differences among groups were noted in ∆Ra, Ca-P content, and enamel morphology after treatments (p > 0.05).
Conclusion
Experimental light-irradiated 6% HP gels containing NF_TiO2 or Nb2O5 were chemically stable and exhibited bleaching potential comparable with 35% HP.
Clinical Relevance
Low-concentrated HP experimental gels stand as a possible alternative to in-office bleaching.
Production and hematological parameters of heifers ½ Angus ½ Nellore raised in integrated livestock-forestry system
Authors: Gonçalves Juliene Cruz , Andrighetto Cristiana , Mateus Gustavo Pavan , Simiele Carolina Barone , Sekiya Bianca Midori Souza , Duarte Julia Paschoareli Ferro , Oba Eunice , Dias Beatriz Poletto Neris , Silva Ben Yur Aparecido da , Martinez Edgar Ramos , Oliveira Juliana Moura , Gonela Renan Fabrício 
Published: April 2023

Abstract

The objective of this study was to evaluate the effect of integrated livestock-forestry system (ILF) in the performance, thermal comfort, hematological and hormonal parameters of ½ Angus ½ Nellore heifers, in summer. Thirty-two heifers were distributed in randomized block design with two treatments and four replications. The treatments were: CPS: Conventional pasture system without trees; ILF: integrated livestock-forestry system with eucalyptus planted in triple lines (386 eucalyptus ha− 1). Forage dry mass (FDM), bromatological and morphological analysis of Marandu palisadegrass, animal performance, ambient temperature (TA), relative humidity (RH), and humidity index (THI), respiratory rate (RR), blood count and hormonal parameters were evaluated. FDM, stem, senescent material and dry matter were lower in the ILF (P < 0.05). The crude protein was high in ILF (P < 0.05). There were no significant difference for final weight and average daily gain between treatments (P > 0.05). The stocking rate and weight gain per area were higher in CPS (P < 0.05). The TA, RH, THI and RR were better in the ILF (P < 0.05). The leukocytes and albumin were higher in the ILF (P < 0.05). There were no significant difference between the treatments for T3, T4 and cortisol (P < 0.05). The ILF reduces FDM depending on shading and promotes relevant changes in the morphological and bromatological composition, but it is not able to change the performance of heifers. The arboreal component improves the thermal comfort indexes, which is reflected in the RR and in the greater number of leukocytes and albumin, showing that ILF is important for the heifers welfare.
A Comparative Study of Machine Learning Algorithms for Predicting Domestic Violence Vulnerability in Liberian Women
Authors: Rahman Riaz , Khan Md. Nafiul Alam , Sara Sabiha Shirin , Rahman Md. Asikur , Khan Zahidul Islam 
Published: April 2023

Abstract
Domestic violence against women is a prevalent issue in Liberia, with nearly half of women reporting physical violence. However, research on the biosocial factors contributing to this issue remains limited. In this study, we aim to predict women's vulnerability to domestic violence using a machine learning approach, leveraging data from the Liberian Demographic and Health Survey (LDHS) conducted in 2019–2020. To achieve this goal, we employed seven different machine learning algorithms, including ANN, KNN, RF, DT, XGBoost, LightGBM, and CatBoost. Our analysis revealed that the LightGBM and RF models achieved the highest accuracy in predicting women's vulnerability to domestic violence in Liberia, with accuracy rates of 81% and 82%, respectively. One of the key features identified across multiple algorithms was the number of people who had experienced emotional violence. These findings offer important insights into the underlying characteristics and risk factors associated with domestic violence against women in Liberia. By utilizing machine learning techniques, we can better predict and understand this complex issue, ultimately contributing to the development of more effective prevention and intervention strategies.
Network model to optimize the process of green environmental features and urban building recognition based on lightweight image search system
Authors: Huang Haibo 
Published: April 2023

Abstract
To promote the development of a green environment, it is necessary to build a friendly environment for green travel and increase the use of green resources.Methods based on remote sensing image processing and feature analysis have become one of the main ways to obtain ground information, and have been widely used and promoted.Therefore, ground targets the accuracy of object recognition and features have been significantly improved. In the lightweight image of the city, the terrain occupies almost 80% of the buildings and roads. Urban buildings play an important role in supporting the operation, management and planning of the city. An important technology for the construction of digital towns in the future is the city. Building identification, therefore, the research of building identification is more important in the development of the city. With the widespread application of artificial intelligence deep learning and the popularization of smart technologies, the digital images generated by the Internet and mobile smart terminals have exponentially increased. Image data provides users with a comfortable experience and convenient services, but it also brings many challenges. How to filter out the photos we are interested in from a large amount of image data and find the content we need is a data difficulty. In computer vision research, image search systems can solve the problem of searching for the same content in many digital images. This paper applies deep learning and lightweight images to search systems to promote the development of urban building recognition.
Design of artificial intelligence cultural creative industry based on machine learning
Authors: Zhao Zhice , Zhang Lei 
Published: April 2023

Abstract
At present, social production and people's lifestyle have been revolutionized and globally affected by the rapid development of artificial intelligence technology. This technology has been reasonably applied in many fields, such as medical treatment, economy, transportation and manufacturing, so it has been unanimously recognized and supported by the market, society and the government. At the same time, artificial intelligence is more and more applied to the field of cultural industry, which brings a new development model of cultural design creative industry and promotes its production and management reform. Based on this point, this paper focuses on the practical problems in the process of small sample single label classification of cultural and creative product images, comprehensively establishes the mainstream machine learning model, and classifies DPM data with mechanical transfer learning algorithm. From the experimental data, the prediction accuracy of the resnet50 model is 87%. Not only that, this paper also proposes a multi feature algorithm by integrating machine learning and deep learning technology, in order to solve the problem of differences between large and small types of cultural and creative products. The algorithm can combine convolution calculation and point combination for learning, so as to further improve the accuracy. Finally, it can realize that the accuracy is 5% higher than DPM data set, which is conducive to the development of cultural and creative industries. Through the in-depth analysis of artificial intelligence, it is found that the technical level of artificial intelligence needs to be improved at this stage, and there are limitations in its application; Artificial intelligence laws and regulations are imperfect and information protection is misplaced; Artificial intelligence technology is easy to be overused, which affects the healthy development of cultural industry and leads to public opinion. This paper applies machine learning and artificial skill technology to the field of cultural and creative design, so as to promote the development of cultural and creative industry.
Application of edge computing and APP Software Services in Graphic Product Art Design
Authors: Hu Haoqi , Fu Meng , Wang Fan 
Published: April 2023

Abstract
The design of a green city needs to improve energy efficiency and urban greening rate, and plan public green spaces in places with good natural conditions and reasonable structures.With the rapid development of embedded technology and embedded APP software services, the application range of software maintenance systems has become more and more extensive, and it has also stimulated the increasing demand for embedded software. Improve the efficiency of embedded software development, reduce complexity, cost and development cycle, and apply component-based software development technology. These are very suitable for embedded system development. Component technology is the main form of current software development, which has the characteristics of reusability, packaging and assembly. It also expands Lw CCM, component model and component container. This article analyzes the product graphic design process, and designers choose appropriate design software to improve work efficiency when performing product graphic design. The application of design software in the product design process is mainly According to the specific characteristics of forward design and reverse design. The difference is that a product with a relatively simple structure uses 3D software to design the product in the direct design process, while a product with a relatively complex and cumbersome structure uses plane software to design the product in the reverse design process. Therefore, this article uses mobile edge technology to learn the application of APP software and the art design of graphic products.
Assessing Ergonomic-Deviations in the Existing Configurations of Controls and Display Units in Locomotives of Indian Railways
Authors: Danda Subir , Sarkar Soumya , Bepari Bikash , Saha Kalyan Brata , Lahiri Balendra Nath 
Published: April 2023

Abstract
Train driving is a complex task, requires prompt decision making based on external and internal information received. Therefore, spatial arrangement of control and display units and their labelling play vital roles to facilitate safe driving. This study was initiated on WAG7 (Old Variant modeled) goods locomotives. The Indian Railways having a very good number of fleets of such locos to take up this research. The ambience within the workstation and arrangement of controls were recorded video-graphically for subsequent analysis. In addition to many other elements of job or tasks, loco pilots remain engaged to operate few controls by reading various operational parameters on different display units. Within the fleet, deviations in placement of the display units, indicating lack of standard practices, had been noticed. Visibility of such units was found inadequate. Labelling of instruments, appeared to have been done un-attentively/ lackadaisically, bearing the signature of untrained hands. Investigation revealed that controls and display units were not configured ergonomically; therefore, proper location, size selection and labelling of such instruments are suggested to be standardized for their easy identification and error-free reading. Discussion with workers revealed that the importance of labelling and coding system is not clear to those who maintain the locomotives in sheds/workshops.