bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 Risk Perception and Vaccine Uptake among Pregnant Women in Ghana
Authors: Partey Frederica Dedo , Mensah Benedicta Ayiedu , Pobee Abigail Naa Adjorkor , Effah-Baafi Yaw , Obiri Dorotheah , Bonney Evelyn Yayra 
Published: November 2023

Abstract

Background The coronavirus disease (COVID-19) pandemic has severely affected global health systems and the world economy. Pregnant women with COVID-19 are at an increased risk of developing severe disease. COVID-19 vaccines are highly recommended for pregnant women due to the vulnerability of the pregnant population. Vaccine hesitancy in LMIC’s remains a global health threat. Few studies have examined the risk perceptions of pregnant women living in sub-Saharan Africa and their influence on COVID-19 vaccine uptake within this population. To examine the relationship between knowledge of coronavirus disease 2019 (COVID-19), infection risk perception, and vaccine uptake among pregnant women living in urban Ghana. Methods This cross-sectional study was conducted from March to May 2022 at a general hospital in Accra, Ghana. We enrolled 400 antenatal pregnant women and 200 parturient women on admission. A structured questionnaire was administered to capture socio-demographic characteristics, examine their knowledge of COVID-19, their perception of infection risk to themselves and their unborn babies, and vaccine uptake. Results A high proportion perceived COVID-19 as a serious (25–45%) or very serious (45–60%) viral infection during pregnancy, which could have adverse effects on their unborn babies. A proportion of them (54.5%) believed that the virus could be transmitted from mother to the unborn babies in utero or during delivery, respectively. Although the women expressed fear of contracting the virus during pregnancy, they were not hesitant to visit healthcare facilities for antenatal care or delivery. We found that only 11.5% and 4.5% of our study participants in the antenatal clinic and delivery ward, respectively, received at least one dose of available COVID-19 vaccines. Despite the low vaccine uptake, most participants indicated that vaccination reduced the risk of contracting SARS-COV-2. Conclusions Our study found that pregnant women living in Accra were knowledgeable about COVID-19 and its negative effects on their unborn babies. Fear of contracting the virus did not deter them from accessing care at hospitals. Our participants perceived COVID-19 as serious viral infection during pregnancy and indicated that vaccination could reduce their chance of contracting the virus. However, many of them were not vaccinated against COVID-19.
Surgery first orthognathic correction of dentofacial deformity secondary to condylar hyperplasia with a hybrid 3D approach for planning and printing of patient-specific implants: A case report
Authors: Jaramillo María Clara , Zapata Camilo , Chacón Kelly , Guevara Claudia , Low Eduardo , Yomayusa Nancy 
Published: November 2023

Abstract
Background: Orthognathic surgery (OS) is used to correct facial asymmetry, dentofacial deformity, skeletal malocclusion, and in complementary procedures to improve mastication and aesthetics. Herewith we report the case of a patient with progressive facial asymmetry who underwent OS with virtual surgical planning, patient-specific guides and custom implants at the Colsanitas Clinic, Bogota, Colombia.
Case presentation: Twenty-four-year-old female with a dentofacial deformity secondary to condylar hyperplasia of 9 years evolution. A hybrid technique combined surgical planning and 3D printing of the customized guides and miniplates following a “surgery first” approach.
Conclusion:
Orthognathic surgery with a hybrid technique resulted in a precise translation of the treatment plan with optimal functional and aesthetic outcomes and patient satisfaction.
Ownership Structure and Manufacturing Productivity in a Transition Economy: Analytical Issues and Evidence from Vietnam
Authors: Athukorala Chandra , Nguyen Hai Thanh 
Published: November 2023

Abstract
This paper examines firm ownership and manufacturing productivity in transition economies by drawing on the experience of Vietnam. The empirical analysis uses a new a new establishment-level panel dataset over the period 2006–2017. The findings indicate that the transformation of the ownership structure under trade and investment policy reforms has contributed significantly to improving the productivity of the manufacturing sector, with both fully owned subsidiaries of multinational enterprises (MNEs) and MNE joint ventures with domestic private sector firms playing a pivotal role. Productivity of fully owned MNE subsidiaries is significantly higher than that of MNE joint ventures, supporting the view that relaxing ownership restrictions on foreign direct investment have been instrumental in improving manufacturing productivity. Both state-owned enterprises (SOEs) and MNE-SOE joint ventures are at the bottom of the productivity ranking, suggesting that the MNE-SOE joint ventures are not immune to productivity-retarding factors affecting SOEs.
JEL Codes: F23, O14, P24, P23
Development of Secondary SSSLs and Analysis of QTL for Grain Size as well as Fine-mapping of qGL3.4 Based on a Rice CSSL-Z668
Authors: Xiang Siqian , Yu Zhaopeng , Zhang Han , Wu Jiayi , Zhao Zhuowen , Li Qiaolong , Li Lu , Xiang AoNi , Xu Jinghong , Zhang Fan , Yan Xu , Yang Zhenglin , Ling Yinghua , Zhang Changwei , He Guanghua , Zhao Fangming 
Published: November 2023

Abstract
Background
Grain size is an important factor affecting yield, appearance and processing quality of rice. Therefore, it is of great significance to explore genes controlling grain size in rice. However, its genetic mechanisms are complex and belong to quantitative inheritance controlled by polygenes with minor effects. Chromosome segment substitution lines are ideal materials for natural variation creation, QTL dissection, functional analysis and pyramid breeding of favorable alleles.
Results
Z668 was identified containing 8 substitution segments from indica restorer line R225 in the genetic background of Nipponbare. Its average substitution length was 3.63 Mb. Compared with Nipponbare, Z668 plants exhibited significant dwarf, and the grain length, ratio of length to width and 1000-grain weight of Z668 was increased by 39.9%, 31% and 25.9%, respectively, and grain width of Z668 was decreased by 3.3%. Then, a total of 7 QTLs for grain size were identified from F2 populations derived from Nipponbare/Z668, including 3 for grain length (qGL3.4, qGL12-1, qGL12-2), 3 for ratio of length to width (qRLW3.4, qRLW12-1, qRLW12-2), and 1 for 1000-grain weight (qGWT7), which were found distributing on chromosomes 3, 7 and 12. Finally, 5 single segment substitution lines were developed and 13 QTLs (qGL1, qGL6, qGL7, qGL12-2, qGW7-1, qGW7-2, qRLW1, qRLW6, qRLW7-1, qRLW7-2, qRLW12-2, qGWT6 and qGWT7) were detected by them. Among them qGL1, qGL3.4, qGL12-1 and qGL12-2 might be new QTLs identified in the study, In addition, qGL3.4 controlling long grain displayed dominant inheritance by analysis of frequency distribution in F3 population developed by recombinant plants of single qGL3.4 locus and Chi-square test. And qGL3.4 was then fine mapped into the 300 kb region between SSR3 and SSR4 on chromosome 3 by 142 recessive plants with short-grains and 5 polymorphic SSR markers designed in the substitution interval RM5864 and RM5626 where qGL3.4 was located. By gene prediction, 7 genes were found to be associated with grain size. And through DNA amplification and sequencing as well as qRT-PCR analysis, the candidate1 and 3 were considered as preferred candidate genes for qGL3.4.
Overexpression of PFKP in liver hepatocellular carcinoma: study of prognostic effects and discovery of potential drug sensitivity
Authors: Cen Lilan , Hua Haoming , Qin Ling , Li Shengyi , Chen Wangling , Tian Zhe 
Published: November 2023

Abstract

Liver hepatocellular carcinoma (LIHC) ranks among the most prevalent malignant tumors. This study investigated the pivotal role of platelet-type phosphofructokinase (PFKP) in LIHC. PFKP expression in LIHC tissues and adjacent normal tissues was assessed utilizing The Cancer Genome Atlas (TCGA) database. In addition, immunohistochemistry was conducted on clinical samples of LIHC tissues and adjacent normal tissues to evaluate PFKP expression. The TCGA database was further exploited to investigate PFKP expression and its correlation with LIHC prognosis and immune infiltration. Our findings unveiled upregulated PFKP expression in LIHC tissues, establishing an association with clinical pathological features (AJCC stage and T stage) and poor prognosis. Kaplan-Meier survival analysis and ROC curve analysis substantiated these observations by demonstrating that patients with high PFKP expression exhibited shorter median overall survival than those with low expression. Notably, PFKP expression displayed heightened predictive value for 1-year, 3-year, and 5-year survival predictions. Enrichment analysis disclosed the involvement of PFKP's biological functions in anti-tumor drug metabolism processes. Moreover, PFKP exhibited close associations with the tumor microenvironment and immune therapy. Consequently, our study identified several clinical drugs and inhibitors that exhibited increased sensitivity in LIHC patients with high PFKP expression. To conclude, PFKP assumes a critical role in the onset and progression of LIHC, thereby underscoring its significance in both research and treatment.
Improved Decision Support System for Personal Loan Eligibility Using Artificial Neural Networks
Authors: Alfawaz Bashayer 
Published: November 2023

Abstract
Making a loan decision is a task that entails a certain level of risk. When an individual who wants to get credit, such as a loan, credit card, or mortgage, decides to apply, the creditor conducts a comprehensive evaluation to assess the borrower's creditworthiness. This study aims to create a system that can assist financial institutions in the loan approval process to reduce the frequency of non-performing loans (NPLs), which can result in financial losses. In addition, the approach facilitates borrowers' understanding of the potential risks associated with loan acquisition. A classification model was built using a neural network to classify borrowers' eligibility based on features that substantially impact a loan decision. An interpretation model was also built to explain the reason behind the outputs using the local interpretable model-agnostic explanations (LIME) method. The classification model achieved an accuracy of roughly 65%, accompanied by a precision of around 0.65, a recall of 0.62, and an F1-score of 0.61. Ultimately, a user interface with interactive features was developed to effectively display the findings of the model.
Bridging the Gap: Assessing the Integration of Artificial Intelligence in Healthcare for Improved Efficiency and Doctor Adaptability.
Authors: Alrabie Mohammad 
Published: November 2023

Abstract
The premise behind implementing artificial intelligence in healthcare comes from the initiative that aims towards improving the healthcare standards, services, and accessibilities in a time and cost-efficient manner. The conceptual framework is based on the null hypothesis which states that there is no relationship between implementing artificial intelligence in healthcare and doctor’s redundancy. Having used the 2-tailed One-Sample T-Test to test that hypothesis on IBM SPSS, in order to successfully reject the hypothesis, and present an alternatively more accurate hypothesis that is more accurately representative. Additionally, DICE framework has also been presented in order to calculate the success/failure likelihoods of implementing artificial intelligence in healthcare. We conclude that artificial intelligence significantly impacts cost reduction in the long term, as well as only ever displacing behind-the-curve doctors who are unwilling to broaden their knowledge and develop their skills. Finally, we conclude that people’s resistance to change significantly affects the efficient and effective implementation of artificial intelligence in healthcare.
Advancing Named Entity Recognition with Syntax-Aware Attention Mechanisms
Authors: Jason Tomasz , Neumann Muly , Adam Ammar 
Published: November 2023

Abstract
Named entity recognition (NER) stands as a pivotal task in natural language processing (NLP). Recent advancements have considerably enhanced its effectiveness. However, a gap remains in these systems' ability to fully leverage the recursive dynamics of linguistic structures. This study introduces a novel approach, intertwining the recognition of entities with a deeper understanding of linguistic syntax and tree-like structures. Utilizing a Tree-LSTM that operates under the guidance of dependency trees, we capture the intricate syntactic relationships between words. This process is further refined through the dual application of relative and global attention mechanisms. The relative attention zone is on critical words in the context of each evaluated word, whereas global attention identifies keywords throughout the entire sentence. By projecting these attention-modulated features into a tagging space, our model employs a conditional random field classifier to determine entity labels. We discover that our model adeptly highlights verbs that reveal the types of entities, influenced by their syntactic roles within sentences. Our model sets a new benchmark for performance on two prominent datasets, substantiating our approach.
Generalized Analysis of Methods for Solving Systems of Nonlinear Equations With Point and Interval Coefficients
Authors: Ibragimov Alimzhan 
Published: November 2023

Abstract

In this article we consider interval methods for solvingpoint (with real coefficients) and interval (with intervalcoefficients on the right side) systems of nonlinear algebraicequations. These methods are used to demonstrably solve pointsystems of nonlinear equations, as well as to find outer estimatesof the so-called united set of solutions to systems of nonlinearequations with interval coefficients. First, we will analyze theinterval methods of Newton and Krawczyk to show the advantages anddisadvantages of these and similar iterative methods. Next, wepropose a vertex method for outer estimation of solution sets ofinterval nonlinear systems, which also uses these iterativemethods. Here we limited ourselves only partially to intervalsystems. The proposed vertex method is more efficient where theconvergence of the iterative process is not guaranteed for theinterval iterative methods of Newton, Krawczyk or Hansen-Sengupta.The conducted numerical experiments show that the proposed vertexmethod gives more accurate estimates than the direct applicationof interval iterative methods.
Polynomial stability of Timoshenko system with strong damping and strong distributed delay terms
Authors: Laribi Imene , Krelifa Ali , Zitouni Salah , Ouchenane Djamel 
Published: November 2023

Abstract
In this research work, we study the linear Timoshenko problem with a strong damping and a strong distributed delay when it acts on the first equation. We first prove the existence and uniqueness solution of the system by using the semi-group theory. Then, we illustrate the lack of exponential stability even in the condition of equal wave propagation is satisfied. Furthermore, we show the polynomial decay of solution with rate t−½. From this perspective, we demonstrate the optimality of the rate.
Rapid entomological assessment in eight high malaria endemic regencies in Papua Province revealed the presence of indoor and outdoor malaria transmissions
Authors: Rozi Ismail E , Permana Dendi H , Syahrani Lepa , Asih Puji BS , Zubaidah Siti , Risandi Rifqi , Wangsamuda Suradi , Dewayanti Farahana K , Demetouw Michael R. Demetouw , Mabui Silas , Robaha Marthen M F , Sumiwi Maria E , Bangs Michael J , Lobo Neil F , Hawley William A , Syafruddin Din 
Published: November 2023

Abstract

Background
Malaria in eastern Indonesia remains high despite significant reduction and elimination in other parts of the country. A rapid entomological assessment was conducted in eight high malaria endemic regencies of Papua Province, Indonesia, to expedite malaria elimination efforts in this region. This study aims to characterize specific, actionable endpoints toward understanding where and when malaria transmission is happening, where interventions may function best, and identify gaps in protection that result in continued transmission.
Methods
The entomological assessment included identifying potential vectors through human landing catch (HLC), indoor morning and night resting collections, identification of larval sites through surveillance of water bodies, and vector incrimination toward understanding exposure to malaria transmission.
Results
Human landing catches (HLCs) and larval collections identified 10 Anopheles species, namely Anopheles koliensis, An. punctulatus, An. farauti, An. hinesorum, An. longirostris, An. peditaeniatus, An. tesselatus, An. vagus, An. subpictus and An. kochi. The most common and abundant species found overall were An. koliensis and An. punctulatus, while An. farauti was found in large numbers in the coastal areas of Mimika and Sarmi Regencies. Vector incrimination on Anopheles collected from HLCs and night indoor resting demonstrated that An. koliensis and An. punctulatus carried Plasmodium in Keerom, Jayapura, and Sarmi Regencies. Analysis of HLCs for the most common species revealed the An. koliensis, An. punctulatus and An. farauti, bite indoors and outdoors at equal rates. Larval surveillance demonstrated that most water bodies in and surrounding residential areas contained Anopheles larvae.
Conclusions
This study demonstrated indoor and outdoor exposure to mosquito bites and gaps in protection, enabling exposure to infectious bites in all regencies. This may explain why current malaria control efforts focusing on indoor protection have failed to reduce malaria incidence in the region substantially. Optimization of insecticide-treated bed nets (ITNs), as well as installment of mosquito screens in houses, may further reduce indoor transmission. For outdoor transmission, the use of community-centric approaches to reduce or eliminate larval sources within and surrounding the village through the guidance of locally stationed entomologists, along with Social and Behavior Change Communication (SBCC) mediated health education towards the local adoption of mosquito protection tools during outdoor activities, may reduce malaria transmission.
In Silico, Evolutionary Analysis and Designing guide RNA constructs for the Precise Modification of the Thermosensitive Genic Male Sterile (OsTMS5) Gene using the CRISPR/Cas9 System in Rice (Oryza sativaL.): A Comprehensive Study and Construct Development for Crop Improvement
Authors: Behera Laxmipreeya , Samal Kailash Ch. , Parmeswaran C , Agrawal Pawan Kumar , Achary V. Mohan Murali , Dash Manasi , Dwibedi Sanat Kumar , Bhol Raj Kumari , Kherawat Bhagwat Singh , Chung Sang-Min , Kesawat Mahipal Singh , Samantaray Sanghamitra 
Published: November 2023

Abstract
The CRISPR/Cas9 system represents a state-of-the-art technology for precise genome editing in plants. In this study, we performed in silico and evolutionary analyses, as well as designed guide RNA constructs for the precise modification of the thermosensitive genic male sterile (OsTMS5) gene using the CRISPR/Cas9 system in rice (Oryza sativa L.). The OsTMS5 promoter harbors a diverse array of cis-elements, which are linked to light responsiveness, hormonal regulation, and stress-related signalling. Further, expression pattern of OsTMS5 revealed that OsTMS5 exhibited responsiveness to hormones and were activated across diverse tissues and developmental stages in rice. In addition, we meticulously designed guide RNAs (gRNAs) with a length of 20 base pairs. This design process was conducted using the CRISPR-P v2.0 online platform. The target of these gRNAs was the rice thermosensitive genic male sterile gene OsTMS5. The selection of the top two gRNAs was made after conducting a thorough evaluation, which included assessing factors such as on-score value, minimum off-target score, GC content, potential off-target sites, and genomic location. In this study, two types of entry vectors were utilized, and the pMDC99 vector served as the destination vector for plant transformation. Following the annealing and ligation of the gRNAs through LR recombination, the resulting plasmid was named as "pMDC99-eSPCas9+OsU6-OsTMS5-target1-gRNA+OsU6-OsTMS5-target2-gRNA." Subsequently, this plasmid obtained from the third LR recombination was introduced into Agrobacterium EHA105 for the purpose of conducting rice transformation. Therefore, these constructs have the potential for use not only in molecular genetic analyses and molecular breeding in rice but also in a wide range of other crop species.
Stiffness estimation of Rubber plantation timber by using the Smart Thumper Application
Authors: Phonetip Khamtan , Faircloth Adam , Soukphaxay Khonethong , Syvongsouk Khonexay 
Published: November 2023

Abstract
The objective of this study was to investigate the results of estimating modulus of elasticity of rubber plantation timber based on the SMART THUMPER™ application and the universal testing machine. The results showed that there was a no significant difference between the responses of the MOE between two testing methods at the P-value of 2.06 (P > 0.05). The average MOE for Universal testing machine is 10048 ± 2610 MPa while the Smart Thumper App is 10155 ± 2415 MPa. It is suggested to conduct further experiments i.e. Group of specimens with defects and a group of clear specimens.
Low-dose Esketamine promotes brain protection via the ERK/Nrf2 pathway in vascular dementia rats
Authors: Shi jinlin , Guo minxuan , Yu Xinran , Zhang Huan , Li xuze , Gan Jianhui 
Published: November 2023

Abstract
Backdround
: By establishing the rat model of vascular dementia and observing the effects of low-dose Esketamine on cognitive function and related mechanisms in rats with vascular dementia, providing a new idea for clinical drug treatment of Vascular dementia (VD).
Methods
100 rats were randomly divided into five groups: sham operation group, vascular dementia group, Esketamine group, Esketamine + PD98059 group, and Esketamine + DMSO group. Except for the sham operation group, the other groups were established vascular dementia rat models by intraperitoneal injection of sodium nitroprusside to reduce blood pressure and bilateral common carotid artery occlusion/reperfusion. The Morris water maze test assessed rats' learning and memory ability. ELISA detected changes in SOD and IL-1β levels in rat serum; the levels of ERK, Nrf2, and p-ERK in the hippocampus were detected by western blotting; and the pathological changes in the hippocampus of rats in each group were detected by HE staining.
Results
The results showed that the escape latency of VD rats was significantly higher than that of Group Sham and Group VK. In contrast, the times of crossing the platform and the staying time distance of the target quadrant of VD rats were significantly lower than that of Group Sham and Group VK. Compared with the Group VD, the expression of ERK, p-ERK and Nrf2 in the hippocampus of Group VK increased, which improved brain injury, increased the level of serum antioxidant SOD and decreased the level of inflammatory factor IL-1β.
Conclusion
Low-dose ketamine can improve cognitive impairment and reduce the damage to the hippocampus in VD rats. Its protective effect is related to increasing BDNF levels, activating the ERK/Nrf2 pathway, increasing antioxidant substances in the body and inhibiting inflammatory factors.