bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cervical Cancer Screening and Vaccination: Knowledge, Awareness, and Attitude of Female Staff in a Nigerian University
Authors: Ogundipe Laofe , Ojo Tolulope , Oluwadare Tunrayo , Olayemi Eniola , Oluwafemi Funmilayo , Oni Olawale , Kukoyi Olasumbo , Orok Edidiong 
Published: February 2023

Abstract
Background: Poor knowledge and awareness of cervical cancer screening and vaccination are significant barriers to effective cervical cancer prevention in developing countries. Knowledge of cervical cancer and vaccination against cervical cancer remains low in Nigeria. The purpose of this study was to assess knowledge, awareness, and attitude of female staff of Afe Babalola University towards cervical cancer screening and vaccinations.
Methods: This study was a cross-sectional study conducted using a semi-structured questionnaire among the female staff of Afe Babalola University, Ado Ekiti, Ekiti State, Nigeria. The workers’ knowledge and awareness were assessed using yes and no questions while the attitude was assessed using Likert scale questions. The workers’ knowledge was ranked as good (>50%) and poor (<50%). The relationship between demographics, attitude and knowledge of cervical cancer screening and vaccination was carried out using the Chi-square test. Analyses were conducted using SPSS software version 20.
Results: A total of 200 staff consented to participate in the study out of which 64% were married with mean age 32.81 + 8.164 years. Majority (60.5%) of the participants knew the causes of cervical cancer while 7.5% strongly agreed that they do not see the need for cervical screening. Majority (63.5%) of the participants showed good knowledge while 46% had a positive attitude towards cervical cancer screening and vaccination.
Conclusions: The study participants showed good knowledge and awareness but poor attitude towards cervical cancer screening and vaccinations. Interventions and continuous education are needed to improve the population’s attitude and eliminate misconceptions.
Analysis on the evolution of information sharing behavior of stakeholders in sustainable supply chain of water engineering under the background of "Migrating to Cloud, Using Digital Tools and Enabling Intelligence"
Authors: Qin Menghan , Lu Yali , Ding Wenwen 
Published: February 2023

Abstract
We examine the information sharing behavior of stakeholders in the sustainable supply chain of water transfer projects in the context of "Migrating to Cloud, Using Digital Tools and Enabling Intelligence". We explored the evolution of the information sharing behavior of supply chain stakeholders using the China South-North Water Transfer Project as an example, and conducted simulations using MATLAB software to verify the optimal path of the supply chain. The results show that the information sharing behavior of stakeholders in the sustainable supply chain of water transfer projects is influenced by the water consumption of each municipality, the payment strategy of the South-North Water Transfer Project Fund and the cost of updating big data technology. Whether to obtain downstream demand information from the cloud. The upstream and downstream water supply companies should integrate the use of big data and real-time cloud-based intelligent services to make themselves and their partners more profitable in both directions, and to promote the overall coordinated development of a sustainable supply chain for water transfer projects.
Unraveling mucolipidosis type III gamma through whole genome sequencing in late-onset retinitis pigmentosa: a case report
Authors: De Geer Karl , Mascianica Katarzyna , Naess Karin , Sardh Eliane , Lindstrand Anna , Björck Erik 
Published: February 2023

Abstract
Background: We describe the case of a 47-year-old man referred to a retinal clinic and diagnosed with late-onset retinitis pigmentosa. Surprisingly, genetic testing revealed compound heterozygous pathogenic variants in GNPTG, leading to the diagnosis of the autosomal recessive lysosomal storage disorder mucolipidosis type III gamma. Mucolipidosis type III gamma is typically diagnosed during childhood due to symptoms relating to skeletal dysplasia. Retinal dystrophy is not a common phenotypic feature.
Case presentation: Ophthalmologic examination was consistent with a mild form of retinitis pigmentosa and included fundus photography, measurement of best-corrected visual acuity, optical coherence tomography, electroretinogram and visual field testing. Extraocular findings included joint restriction and pains from an early age leading to bilateral hip replacement by age 30, aortic insufficiency, and hypertension. Genetic analysis was performed by whole genome sequencing filtered for a gene panel of 325 genes associated with retinal disease. Two compound heterozygous pathogenic variants were identified in GNPTG, c.347_349del and c.607dup. The diagnosis of mucolipidosis type III gamma was confirmed biochemically by measurement of increased activities of specific lysosomal enzymes in plasma.
Conclusion: To our knowledge this is the first description of retinitis pigmentosa caused by compound heterozygous variants in GNPTG, providing further indications that late-onset retinal dystrophy is part of the phenotypic spectrum of mucolipidosis type III gamma.
How is intergenerational emotional cohesion linked to depression among Chinese older immigrants: the mediating roles of loneliness and perceived stress
Authors: Deng Ruyue , Yan Shiyuan , Zhang Lin , Hou Yanjie , Wang Hao , Zhang Wenjing , Yao Jun 
Published: February 2023

Abstract
Background
Intergenerational relationships profoundly affect older parents’ mental health. However, few studies have shed light on its mechanisms in familistic cultures and migration contexts. The current study aimed to investigate the associations of intergenerational emotional cohesion (IEC) and depression among the Chinese older immigrants, and the mediating roles of loneliness and perceived stress.
Methods
Obtained from a cross-sectional survey conducted in Nanjing, China, the research data involved 654 older immigrants. Variables were measured using the intergenerational solidarity inventory, 3-item R-UCLA Loneliness Scale, Perceived Stress Scale, and 9-item Patient Health Questionnaire (PHQ-9).
Results
There is a negative correlation exists between IEC and depression. Through IEC, three significant mediation pathways were identified that directly affect depression: (1) loneliness (β=-0.063; Ratio = 18.21%), (2) perceived stress (β=-0.085; Ratio = 24.57%), and (3) loneliness and perceived stress (β=-0.033; Ratio = 9.53%).
Discussion
This study advances our understanding of the mechanism through which IEC influences depression in Chinese older immigrants. A strong IEC can reduce depressive symptoms by relieving loneliness and perceived stress.
A novel analysis of Hopf bifurcation for a fractional-order neural network involving mixed delays
Authors: Zhang Yanxia , Li Long 
Published: February 2023

Abstract
This paper provides an extensive binary fractional-order neural network system with mixed delays consisting of two discrete delays and two distributed delays and emphasizes its bifurcating methods and theories. First, the original system is transformed into a five-neuron fractional-order neural network with four delays by introducing three virtual neurons. And then we select different delays as parameters inducing bifurcation to determine the ranges of guaranteeing the steady state response of the system. Some sufficient conditions for the occurrence of Hopf bifurcation are established. In the end, the correctness of the obtained conclusions is verified with the support of numerical simulations. It is found that both discrete and distributed delays play a key role in the Hopf bifurcation of fractional-order neural networks, especially the mean delay in distributed term has a great impact on the critical values controlling bifurcation.
How to compute suitable vicinity parameter and sampling time of recurrence analysis
Authors: Prado Thiago Lima , Machado Vandertone Santos , Corso Gilberto , Lima Gustavo Zampier dos Santos , Lopes Sergio Roberto 
Published: February 2023

Abstract
We show how the maximum of recurrence-mi\-cro\-states entropy configures a new way to properly compute appropriate recurrence vicinity parameter and time sampling to perform recurrence analysis of continuous data. For experimental data, we show the same procedure may be used to find the optimum sampling or to perform down-sampling of the data, preserving recurrence meaning and adjusting the ideal sampling. The new method retrieves results obtained using traditional methods with the advantage of being independent of any free parameter, since all parameter dependencies are automatically set. Our results are also less sensitive to noise when experimental data is used. Due to the automatized way to capture suitable recurrence parameters, the method is adequate for using in autonomous numerical algorithms, allowing the recovery of relevant recurrence information embedded in time series (including over-sampled data), rationalizing the process of data acquisition and allowing only relevant data to be collected.
The Role of Building Violations on Urban Spatial Development in Iran: An emphasize on Tehran Metropolis socioeconomic factors
Authors: Kojouri Mousa Kamanroudi , Ghalehteimouri Kamran Jafarpour , Kiadarbandsari Mahla 
Published: February 2023

Abstract

Building code violations have negatively affected Tehran's spatial development significantly over the last three decades. This study was carried out to answer the question of what the status and factors of building violations and spatial changes were in Tehran's districts in the first decade 1990s and 2000s, when rapid urban development was at its peak. This study's statistical population included all buildings in the twenty-two districts of Tehran. In addition, the data and information for this study were gathered through library and documentary research. Furthermore, descriptive statistical methods were used to explain and interpret the data, and Geographic Information Systems (GIS) were used to represent the results. According to the findings, financial incentives were the most important motivators for committing these violations. One of the most important spatial developments in the Tehran metropolis during this time is the conflict between the Master Plan for the city and population growth, per-capita residential, commercial, and military land use. As a result, areas 1 to 7 and residential structures accounted for 56% of Tehran's total area of residential buildings and 41.8% of the city's population in 2001, respectively, a rise of 2.9% and 34.8%. Additionally, other public institutions increased the area of residential buildings and the population of this area by 46.5% and 42.5% during this time period, respectively, by violating building codes, particularly in area 4 of the city.
Simulation analysis of production scheduling algorithm for intelligent manufacturing cell based on artificial intelligence technology
Authors: Lan Xiaoyi , Hua Chen 
Published: February 2023

Abstract
In response to the policy development, the manufacturing industry is undergoing intelligent technology transformation. Online orders are characterized by multiple varieties and small batches. Therefore, in order to meet the personalized needs of more customers, it is necessary to transform the traditional production mode into the intelligent factory mode. Intelligent factories can realize green and sustainable development. Using intelligent robot technology to complete programming to design and process is an important research direction in related fields. In this context, this study strives to design a unitary production scheduling algorithm, which is implemented based on artificial intelligence technology. After testing, this algorithm has the best performance, the shortest running time, relatively low power consumption and short product processing cycle. The system design framework includes three parts: the communication design between physical control equipment and PC, the interactive control software design of PC, and the virtual controlled object model design. From the research results, it can be concluded that the realization of production scheduling algorithm design for intelligent manufacturing cells can help enterprises to make rational allocation of order size and resources, so as to improve production efficiency while taking into account the low-carbon production concept widely promoted by the international community. In this paper, a kind of effective production scheduling algorithm is studied by introducing AI technology into the field of intelligent manufacturing cell.
Morphological Characterization, Variability, and Diversity among Amaranth Genotypes from Ethiopia
Authors: Yeshitila Mekonnen Degefu , Gedebo Andargachew , Olango Temsgen Magule , Tesfaye Bizuayehu 
Published: February 2023

Abstract
Amaranths are dicotyledonous plants with high yield potential, a high mineral uptake rate, short days, and high adaptability. It has been extensively investigated as a model C4 plant. The objectives of the current study were to estimate genetic diversity, heritability, and genetic advance for yield and yield-contributing traits of amaranth genotypes based on agro-morphological traits. The study was done on one hundred twenty amaranth genotypes planted over two growing seasons using an alpha lattice design with two replications. The analysis of variance showed the presence of significant variation (P ≤ 0.001) between genotypes, years, and their interactions for most of the studied traits. Among the genotypes, based on their performance, promising genotypes KAZ-059, 225713, KAZ-058 and KEN-019, 242530, and 212890 exhibited higher leaf area, branch number, and plant height at maturity, and plant height at flowering. Selection based on these traits could be effective for amaranth leaf yield improvement. On the other hand, KEN-016, KEN-020, KAZ-060, KEN-010, KEN-018, and 22571 produced high grain yield along with better leaf area, axillary inflorescence length, terminal inflorescence lateral length, terminal inflorescence stalk length, grain sink filling rate, and thousand seed weight, indicating phenotypic-based selection on these traits might be reliable for grain yield improvement in amaranth genotypes. These genotypes were chosen as a result due to their high yield potential and good yield-related traits. Future selection efforts for amaranth should therefore continue to evaluate the genotypes under various environmental conditions. These genotypes were selected as a result because they had a high potential for yield and desirable traits that might boost yield.
SARS-CoV-2 infection causes fibrotic pathogenesis through deregulating mitochondrial beta-oxidation
Authors: Gao Yan , Kok Wai Ling , Sharma Vikram , Illsley Charlotte , Hanks Sally , Tredwin Christopher , Hu Bing 
Published: February 2023

Abstract
The global high prevalence of COVID-19 is a major challenge for health professionals and patients. SARS-CoV-2 virus mutate predominantly in the spike proteins, whilst the other key viral components remain stable. Previous studies have shown that the human oral cavity can potentially act as reservoir of the SARS-CoV-2 virus. COVID-19 can cause severe oral mucosa lesions and is likely to be connected with poor periodontal conditions. However, the consequence of SARS-CoV-2 viral infection on human oral health has not been systematically examined. In this research, we aimed to study the pathogenicity of SARS-CoV-2 viral components on human periodontal tissues and cells. We found that by exposing to SARS-CoV-2, especially to the viral envelope and membrane proteins, the human periodontal fibroblasts could develop fibrotic pathogenic phenotypes, including hyperproliferation that was concomitant induced together with increased apoptosis and senescence. The fibrotic degeneration was mediated by a down-regulation of mitochondrial β-oxidation in the fibroblasts. Fatty acid β-oxidation inhibitor, etomoxir treatment could mirror the same pathological consequence on the cells, similar to SARS-CoV-2 infection. Our results therefore provide novel mechanistic insights into how SARS-CoV-2 infection can affect human periodontal health at the cell and molecular level with potential new therapeutic targets for COVID-19 induced fibrosis.
Persistent Ectopic Pregnancy Mimicking Uterine Arteriovenous Malformation: A Case Report
Authors: Xie Zhuolin , Wang Yang , Chen Rong 
Published: February 2023

Abstract
Background Uterine arteriovenous malformation(AVM) refers to the abnormal direct traffic between uterine arteries and veins, which can be characterized by the imaging examination, showing increased uterine vascularity and arteriovenous shunting. However, similar imaging manifestations can also be seen in a variety of conditions including retained production of conception, gestational trophoblastic disease, placental polyp, and vascular neoplasm.
Case presentation Here we present a case of a 42-year-old woman who was suspected of suffering uterine AVM indicated by Doppler sonography and magnetic resonance imaging but was finally diagnosed with a persistent ectopic pregnancy by pathology after laparoscopy. She recovered well after surgery.
Conclusion Uterine AVM is a rare and serious condition. In general, it presents special radiological manifestations. However, when complicated with other diseases it can also be distorting. Standardized diagnosis and management are important.
An interactive automatic evaluation system for college students' Psychological Education Based on improved KNN algorithm
Authors: Min Zhu 
Published: February 2023

Abstract
Based on the research and investigation of the psycho-educational development and assessment of college students, this paper designs an interactive system for automatic evaluation of the psychoeducation of college students, which is based on the KNN data classification model and the current technical and environmental conditions. Based on the data and personal information of a college student's psychological census, screen the students' psychological evaluation data, analyzes the key information of the data, obtains the association rules of each factor, analyzes the experimental results. Aiming at the problem that KNN algorithm has low classification accuracy on unbalanced data, we proposes a weighted KNN hybrid algorithm. The harmonic weighted KNN classifier is added to the SVM-KNN classifier for fitting, and the SVM-KNN hybrid algorithm is jointly established. Combined with the principle of SVM-KNN hybrid data classifier, the improved algorithm is applied to a wider range of data value areas, and the appropriate algorithm is selected for data classification and prediction by judging the threshold size. For the data classification calculation method, the Euclidean distance calculation method is generally used to calculate the point-to-point distance in the plane coordinate system, as for hyper plane high-dimensional data, the improved algorithm uses a more suitable kernel function calculation method. According to the designed experimental step program, a series of basic performance such as the calculation rate of the algorithm and the system are tested, and the results show that it can be satisfied, which proves that the interactive automatic evaluation system of College Students' psychological education designed in this paper can effectively understand the psychological status of college students at this stage, find the students who need to focus on psychological counseling, and carry out psychological health education, so as to provide reference for the actual college students' psychological health education.
Research on prediction of power market credit system based on linear model and Improved BP neural network
Authors: Li Daoqiang , Wang Miao , Yan Qingxin 
Published: February 2023

Abstract
With the continuous economic growth, the number of power customers has increased significantly, and consumers in the field of power marketing will inevitably have a credit crisis. In order to reduce the business risk of relevant departments and improve the risk prediction ability of the system, this paper evaluates and reviews the user credit system. In this paper, the basic structure of BP neural network is described firstly, and then the traditional BP neural network model is optimized after analyzing its algorithm flow. Based on this point, this paper analyzes the characteristics of customers in the energy and electricity market in the research area, and referring to local experts who have been engaged in power sales for many years, this paper puts forward a new set of directly scored power system load forecasting index system and algorithm improvement scheme, and discusses the evaluation of power market credit rating based on the credit evaluation suggestions of power customers. After establishing the judgment criteria, in this paper, the power load data of the target area is studied by empirical analysis method, and selects three different customers from the production area, commercial and residential areas and residential areas as cases to analyze the determination of their credit rating, and then discusses the results of regional power load forecasting. Finally, this paper puts forward a kind of power management method based on the user's credit rating, and in order to complete the modernization transformation of power management system and promote the market development. In this paper, after improving and optimizing the traditional BP neural network, it is applied to the power market to predict the target user credit system, so as to achieve the improvement of forecasting ability.
PD-1 Inhibitor-based Therapies Could Lead to A Diversity of Viral Kinetics in Cancer Patients with Concomitant HBV Infection
Authors: Zeng Yingfu , Huang Jiwei , Pang Jiahui , Wu Yuankai , Li Bin , Jie Yusheng , Li Xinhua , Chong Yutian 
Published: February 2023

AbstractBackground: Previous studies have shown that blockade of programmed cell death-1 (PD-1) or programmed cell death- Ligand-1 (PD-L1) may improve anti-HBV responses in vitro and woodchuck models. However, clinical data was limited on the role of PD-1 inhibitors in patients with chronic HBV infection. We aimed to observe the changes ofserum HBsAgand HBV-DNA levels in cancer patients under PD-1 inhibitor-based therapies and identify the risk factors associated with HBsAg fluctuations and HBV reactivation (HBVr).Methods: A retrospective study including HBsAg-positive cancer patients who received PD-1 inhibitors between July 2019 and December 2022 was undertaken. Serum HBsAg and HBV-DNA level changes, the incidence of HBsAg loss, HBVr and immune-related adverse events (irAEs) were investigated. Univariable and multivariable analysis were performed to identify the risk factors for significant HBsAg fluctuations and HBVr.Results: 121 patients were eligible to the study. With concurrent use of antiviral agents, patients with baseline HBsAg within [50 to 500) IU/ml mostly had HBsAg decrease, viral replication was inhibited effectively. HBsAg loss, HBVr and irAEs were developed in 6 patients (4.96%), 6 patients (4.96%) and 14 patients (11.57%), respectively. Multivariable analysis showed baseline HBsAg <100 IU/ml (P=0.01) was the only significant risk factor for HBsAg decrease, irAEs occurrence was the only significant risk factor for HBVr (P=0.03), while no factors were identified for HBsAg increase.Conclusions: PD-1 inhibitor combined with NAs may exert therapeutic potential for chronic HBV infection in cancer patients, attention also should be payed to its safety.