bluuebunny/crossref_metadata_2025_split huggingface dataset:
Causes and Effects of Project Delay in Public Construction Projects in Ethiopia
Authors: Seman Abdilkerim Asrar , Ahmed Hamed M. S. , Ahmed Abubeker , Haso Abdurahman Awel 
Published: March 2023

Abstract

Projects especially public construction projects have a vital role for the economic development of a nation by transforming the living standard of the community. This study aimed to assess the causes and effects of public construction projects in Dessie town. To achieve the objective of the study 128 respondents approached from the clients, contractors and consultants of the ongoing projects of Dessie town. Questionnaires used to collect primary data from the target population. It has both a likert scale and open ended items. The collected data were analyzed using descriptive data analysis techniques along with the relative importance index. The index widely used in similar studies to measure the level of importance and occurrence of delay causes and effects. The findings of the study showed that the causes of delays emanated from clients, contractors, consultants and externals. Furthermore the main responsible stakeholder for delay of projects in Dessie town is clients. In addition the top ranked causes are delay of progress payment by clients, poor communication and coordination by contracting parties, slowness of the decision making process by owners and financial difficulties of stakeholders. Regarding to the effects of delay, time overrun cost overrun, total abandonment, dispute, litigation, poor project quality, negotiation and bad public relation are confirmed. Based on the findings, the study recommends clients the so called public agencies to revise their project management system, improve financial management system and need to ensure regular project monitoring and evaluation. In addition the study also recommends corrupted individuals should be identified and accountable legally.
Microglial depletion and repopulation did not affect hippocampal neurogenesis after whole brain irradiation
Authors: Zhou Kai , Zisiadis Georgios Alkis , Havermans Monique , Dominguez Cecilia , Ohshima Makiko , Rodrigues Carlos F. D. , Blomgren Klas 
Published: March 2023

Abstract
Background
Ablation of hippocampal neurogenesis is thought to be one reason behind the lifelong cognitive complications that childhood brain cancer survivors face after cranial radiotherapy. Microglia react strongly immediately after an irradiation insult, promoting a neuroinflammatory microenvironment that can prove detrimental for the neurogenic niche. The depletion and repopulation of microglia as a therapeutic strategy was recently shown to ameliorate cognitive deficits in a traumatic brain injury model, but this approach has not been explored in the context of hippocampal neurogenesis after radiation therapy.
Methods
Cx3cr1 CreERt2 − YFP/+ Rosa26 DTA/+, a transgenic mouse model that allows for endogenous expression of diptheria toxin A in targeted cells in a Cre-mediated manner was utilised to deplete microglia from the brain. Postnatal day 18 (P18) mice were injected with tamoxifen for 3 consecutive days to activate the Cre recombinase and were then subjected to an 8 Gy single dose of cranial irradiation on P21. The numbers of proliferating cells and immature neurons were assessed through quantification of Ki67+ and DCX+ cells.
Results
In Cx3cr1CreERt2 − YFP/+Rosa26DTA/+ transgenic mice, microglia could be 97% depleted, remained absent for at least 7 days, and had fully repopulated the brain 10 days after three tamoxifen injections. Following irradiation, the lack of microglia led to delayed removal of cellular debris. Microglia depletetion itself caused increased concentrations of CCL2, presumably to recruit bloodstream monocytes, and irradiation caused synergistically higher and sustained levels of CCL2 compared to controls. The absence of microglia at the time of irradiation did not affect neurogenesis, as judged by the numbers of Ki67+ and DCX+ cells, neither 7, nor 10 days after the last tamoxifen injection, when microglia were still absent or had repopulated, respectively. Lastly, long-term assessment of neurogenesis, 6 weeks after irradiation, as judged by Ki67+ and DCX + cells and granule cell volume, was not different between micoglia depleted and control mice.
Conclusions
The transgenic mouse model described here is an effective tool to study the effects of microglia depletion.Microglia depletion prior to cranial irradiation did not rescue neurogenesis, neither short-, nor long-term, possibly, at least partly, because of the increased levels of CCL2.
Comparative Analysis of Applying Imputation and Hyperparameter Optimization in Cancer Diagnosis
Authors: Wang Haibo , Liu Yi , Wang Wendy 
Published: March 2023

Abstract
Cancer is one of the leading causes for death worldwide, accurate and timely detection of cancer can save lives. With more machine learning algorithms and approaches have been applied in cancer diagnosis, there is a need to analyze their performance. This study has compared the detection accuracy and speed of twenty-one machine learning and deep learning algorithms on a cervical cancer dataset. To ensure the system can potentially be applied to other types of cancers, this study has taken all features into consideration and has examined the impact of imputation and hyperparameter optimization on these algorithms’performance. The results suggest that when both imputation and hyperparameter optimization are applied, over 70% of the algorithms have improved their accuracy, among which support vector machine performs the best, with the trade-off that the execution time for most algorithmshave been lengthened. Such performance is better than when imputation or hyperparameter optimization is applied individually, and when both are absent. By not including feature selection process that most systemswould employ, this study shows such system can achieve satisfactory performance while potentially can be used to detect various types of cancers.
Predictive value of coronary artery computed tomography-derived fractional flow reserve for cardiovascular events in patients with coronary artery disease
Authors: Han Hongwei , Liu Meijun , Yu Yang , Chen Yuan , Xu Yizhou 
Published: March 2023

Abstract

Background: Coronary computed tomography-derived fractional flow reserve (FFR-CT) assesses whether coronary artery lesions will result in myocardial ischemia.
Aim: This study aimed to evaluate the predictive value of FFR-CT for cardiovascular events in patients with coronary artery disease (CAD).
Methods: Data were collected retrospectively from patients with CAD who underwent FFR-CT at our hospital from January 2020 to February 2022 (1-year average follow-up). Patients were divided into ischemic (FFR-CT ≤ 0.80) and non-ischemic (FFR-CT > 0.80) groups. The incidence of endpoint events (cardiac death, acute myocardial infarction, unplanned revascularization, unstable angina, and stable angina) was calculated. The FFR-CT value was correlated with endpoint events using Cox regression models and Kaplan-Meier survival curves.
Results: We recruited 134 patients (93 [69.4%] and 41 [30.6%] patients in the ischemic and non-ischemic groups, respectively). Compared to the non-ischemic group, the ischemic group had a higher proportion of men, patients with type 2 diabetes and hypertension, and patients taking antiplatelet drugs and β-blockers (all P < 0.05). Other parameters were comparable. Multivariate Cox regression analysis revealed no significant differences between the groups for cardiac death, acute myocardial infarction, unplanned revascularization, and unstable angina; the incidence of stable angina events (HR=3.092, 95% CI: 1.362–7.022, P = 0.007) was significantly higher in the ischemic group. Kaplan-Meier survival analysis identified a significant difference in event-free survival for stable angina between the groups (P = 0.002).
Conclusion: FFR-CT showed an independent predictive value for stable angina within 1 year of examination in patients with CAD.
The causal relationship between cheese intake and peripheral vascular disease: A two-sample mendelian randomization study
Authors: wen song , HUANG Zehan , HE Guodong , ZHANG Bin , HUANG Yuqing 
Published: March 2023

Abstract
Background
Previous observational studies have yielded inconclusive findings regarding the potential association between cheese intake and peripheral vascular diseases (PVDs). We sought to systematically investigate the causal link between cheese intake and PVDs.
Methods
A two-sample mendelian randomization (MR) investigation was undertaken to evaluate the causal link between cheese intake and PVDs. This MR analysis relied on summary statistics derived from genome-wide associations of cheese intake (N=451,486) and an array of PVDs, including peripheral artery disease (PAD) (N=1,230 cases, 59,964 controls), peripheral vascular disease (PVD) (N=1,456 cases, 461,554 controls), peripheral angiopathy (N=193 cases, 162,201 controls), aortic dissection (N=470 cases, 218,322 controls), aortic aneurysm (AA) (N=2,825 cases, 215,967 controls), other peripheral vascular diseases (N=1,037 cases, 217,755 controls), pulmonary embolism (PE) (N=1,846 cases, 461,164 controls), deep vein thrombosis(N=6,795, not available cases/controls), and arterial embolism and thrombosis of lower extremity artery (N=471 cases, 218,321 controls). The primary outcome of the study utilized inverse variance weighted (IVW) MR analysis, with weighted median, MR Egger, and weighted mode methods serving as complementary analyses to IVW. Moreover, the results were robustly examined through a sensitivity analysis.
Results
Genetically predicted cheese intake was not associated with peripheral artery disease [odds ratio (OR) = 1.00, 95% confidence interval (CI): 1.00–1.00, P = 0.953], peripheral vascular disease (OR = 1.00, 95% CI: 0.99–1.00, P = 0.265), peripheral angiopathy (OR =0.56, 95% CI: 0.09–3.66, P = 0.566), aortic dissection(OR = 0.69, 95% CI: 0.19–2.55, P = 0.583), aortic aneurysm(OR = 0.92, 95% CI: 0.46–1.82, P = 0.809), other peripheral vascular diseases(OR = 0.99, 95% CI: 0.44–2.21, P = 0.979), pulmonary embolism(OR = 1.00, 95% CI:1.00–1.00, P = 0.635), deep vein thrombosis(OR = 0.83, 95% CI: 0.62–1.12, P = 0.229), and arterial embolism and thrombosis of lower extremity artery(OR = 0.69, 95% CI: 0.21–2.29, P = 0.5413).
Conclusion
Based on the results of our two-sample MR analysis, we found no significant association between cheese intake and the risk of PVDs, including peripheral artery disease, peripheral vascular disease, peripheral angiopathy, aortic dissection, aortic aneurysm, other peripheral vascular diseases, pulmonary embolism, deep vein thrombosis, and arterial embolism and thrombosis of lower extremity artery.
One day interruption of NOAC is associated with low risk of periprocedural adverse events during pulmonary vein isolation if combined with left atrial thrombus exclusion with computed tomography
Authors: Piros Katalin , Vida Adorján , Szegedi Nándor , Perge Péter , Salló Zoltán , Ferencz Arnold Béla , Nagy Vivien Klaudia , Herczeg Szilvia , Ábrahám Pál , Csobay-Novák Csaba , Drobni Zsófia , Tahin Tamás , Apponyi Györgyi , Merkely Béla , Gellér László , Osztheimer István 
Published: March 2023

Abstract
Purpose: Safety, efficacy, and patient comfort are the primary expectations during pulmonary vein isolation (PVI).
We aimed to validate the combined advantages of pre-and periprocedural anticoagulation with non-vitamin K anticoagulants (NOACs) and rigorous left atrial appendage thrombus (LAAT) exclusion with computed tomography (CT). Moreover, we assessed the effect of pre-and periprocedural workups and the catheter ablation on the patients' quality of life.
Methods: Consecutive patient population was collected between March 2018 and June 2020, who underwent cardiac CT within 24 hours before PVI to plan and guide the ablation and rule out LAAT. NOAC was omitted 24 hours before the ablation. If CT was inconclusive regarding the presence of a thrombus, transoesophageal echocargiography (TOE) was performed. All patients underwent PVI using point-by-point radiofrequency ablation. All patients had a routine follow up at 3 months. Quality of life questionnaires were obtained postprocedurally to evaluate the periprocedural discomfort of the patients.
Results: 187 patients (63% male) underwent CT before PVI. TOE was used in 11 (6%) cases. None of the patients experienced stroke during or after the procedure. Based on the quality of life questionnaires, the worst patient discomfort was caused by atrial fibrillation itself, followed by the TOE, then the ablation procedure, hospital stay, and finally the CT. Complication rate was low, with no symptomatic thromboembolic event and 2.1% major bleeding event.
Conclusion: Omitting NOAC 24 hours before the ablation might be safe. Moreover, patient comfort may be increased by replacing the TOE examination with CT.
Combination of Steroid and Anticoagulant Therapy to Treat Acute/Subacute Severe Cerebral Venous Thrombosis
Authors: Zhou Chen , Zhao Tingyu , Guo Yansu , Hu Shuyuan , Zhang Kaiyuan , Li Jingkai , Gu Yaqin , Ji Xunming , Duan Jiangang 
Published: March 2023

Abstract
Background: Accumulating evidence suggest that the inflammatory response plays a vital role in regulatingsevere CVT pathogenesis. However, whether CVT patients can benefit from anti-inflammatory therapy has been debated. This study explored the potential efficacy and safety of steroid combined with anticoagulant therapy in acute/subacute severe CVT patients.
Methods: We reviewed the data of patients with acute/subacute severe CVT treated with a short-term application of steroid or not from a prospective stroke registry of our center. We compared functional outcomes and major adverse events at 6 months follow-up after discharge using the propensity score matching method(PSM).
Results: A total of 248 acute/subacute severe CVT patients were eligible for this study. After PSM, there were 85 patients in the steroid group and 85 in the nonsteroid group. Compared with the nonsteroid group, the steroid group had a higher likelihood ofmRS(0-2)(85.88% versus 75.29%, P=0.03) and a lower likelihood of residual headache(19.28% versus 47.50%, P=0.01) at 6 months follow-up after discharge. Multivariable logistic regression analysis shows steroid treatment(OR 4.69, 95% CI 1.63-13.48, P=0.01) was associated with the favorite outcome in the matched cohort. Regarding steroid safety, the likelihood of CVT recurrence, lower extremity deep venous thrombosis, pulmonary embolism, infection and mortality did not differ significantly(P＞0.05) between the steroid and nonsteroid groups.
Conclusion: The findings suggest that short-term use of steroid might be an effective and safe adjuvant therapy for acute/subacute severe CVT under standard anticoagulant treatment. However, the findings need to be further verified using prospective research.
Investigating the interaction of azobenzene moiety on the amino acid tryptophan
Authors: Frederic Charnette , Wiedman Gregory R. 
Published: March 2023

Abstract
Molecular photoswitches are a series of compounds that can be isomerized upon irradiation with light. Photoswitchable molecules can modify the physical, chemical, and biological properties of a diverse range of materials. They can control protein structure and function with temporal and spatial precision. In this work, we investigated the possible interaction between azobenzene and aromatic amino acids. We hypothesized that aromatic amino acids, such as tryptophan, would show altered photochemical properties when conjugated with azobenzene. When irradiated at either 365 nm or 465 nm, the photo-switching behavior favors the cis isomer and is visibly fluorescent at 365 nm. To our knowledge, this is the first evidence to suggest that primary protein structure could affect photoswitch activity. The knowledge gained from this research will help to further the understanding of photoswitches as they are used in biomolecules.
Modeling the Factors Affecting the Adoption of Electric Vehicles Technology with A Machine Learning Approach
Authors: hedayati sadaf 
Published: March 2023

Abstract
Electric and hybrid vehicles prove to be a good solution to reduce the use of fossil fuels and environmental and air pollution. The purpose of the study was to model the factors that affect the adoption of electric vehicle technology (EVT) using a machine learning approach. To this end, the study data were collected using the library method and examining the sources and internet studies. A questionnaire was prepared to measure the effective variables and distributed among 688 people in the virtual space to ensure the validity and reliability of the measurement tool. The obtained data were analyzed using the machine learning tool and the hierarchical clustering algorithm,and the potential buyers of electric vehicles in Iran were divided into five clusters based on the hierarchical clustering. Each cluster has its behavioral traits, making it distinct from other clusters. The people in cluster three characterized the group of society, among whom hybrid vehicle technology is more accepted than the others, and this cluster must be targeted, and policies must be adopted to expand this cluster to expand the adoption of hybrid vehicle technology in Iran. Technology being updated is critical for the people of this cluster - the vehicle design and the reliable brand are effective factors in their choice while buying a vehicle. The variety of hybrid vehicle branded in Iran is considered an effective factor in the wider acceptance of this technology in Iran. The limited selection of these vehicles and the poor after-sale service of their batteries are obstacles to the development of these vehicles in Iran.
Exudyn – A C++ based Python package for flexible multibody systems
Authors: Gerstmayr Johannes 
Published: March 2023

Abstract
The present contribution introduces the design, methods, functionalities and capabilities of the open source multibody dynamics code Exudyn, which has been developed since 2019. The code has been designed for rigid and flexible multibody systems, with focus on performance for regular multi-core CPUs. It includes script language based modeling and it is intended to be used in science and education, but also in industry. The open source code is available on GitHub and consists of a main C++ core, a rich Python interface including pre- and post-processing modules in Python,and a collection of rigid and flexible bodies with according joint, load and sensor functionality. Integrated solvers allow explicit and implicit time integration, static solution, eigenvalue analysis and optimization. In the paper, the code design, structure, computational core, computational objects and the multibody formulations are addressed. In addition, the computational performance is evaluated with examples of rigid and flexible multibody systems. The results show the significant effect of multithreading even for comparatively small systems as well as for larger models.
Rule-Based Automatic Question Generationusing Dependency Parsing
Authors: Sewunetie Walelign Tewabe , Laszlo Kovacs 
Published: March 2023

Abstract
Artificial intelligence systems offer valuable support to the education sector by automating routine tasks for instructors and providingadaptive assessments. These assessments are a crucial component ofautomatic question-generation techniques. There are various techniquesfor question generation described in the literature. This paper introduces a novel rule-based system for automatic question generationthat employs dependency parsing techniques. The proposed methodfocuses on analyzing both the syntactic and semantic structure of asentence. The paper includes both manual and automatic evaluationmetrics to assess the questions generated by our proposed system. Inthe evaluation, our system received an overall score of 3.67 out of5.0 for human-level performance, an average BlEU−N score of 0.718,and F1−score scores above 0.5 for all types of ROUGE. Both humanand automatic evaluation results demonstrate that our proposed system achieves good performance on simple and short sentences. In thefuture, we plan to enhance our model by incorporating phrase-levelparsing to further improve the proposed dependency parsing techniques.
A new electrolyte based on magnetic ionic liquid with magnetic-tuning electrochemical performance
Authors: Zhang Zhengguo , Li Xiaolin , Fang Yurui , Gao Miao , Liu Zixuan , Liu Qichao , Gu Ning , Cao Yang 
Published: March 2023

Abstract
A new magnetic ionic liquid (MIL) based on 1-methylethyl ether-3-butylimidazole and [FeCl4]− is synthesized for application in electrolyte. It is found that the electrochemical performance of magnetic ionic liquid based mixed electrolyte can be improved by applying magnetic field. The enhanced electrochemical performance is attributed to the formation of microdomain in the mixed electrolyte under magnetic field. The ions of MIL can align along the direction of the magnetic field, providing the efficient transmission path for the migration of Li+ and Cl−. Under magnetic control, the MI-based electrolyte does not only retain its wide electrochemical window characteristics, but also solves the problem of limiting the high viscosity of IL as electrolyte. The work provides a new method to design and prepare high-performance electrolyte for various electrochemical applications.
Comparative metabolomic analysis of human cancellous bone reveals the critical role of linoleic acid metabolism in femur head necrosis based on GC-MS
Authors: Zhu Weiwen , Wang Rui , Luo Xuming , Yang Zhijian , Yu Baoxi , Zhang Jian , Fu Ming 
Published: March 2023

Abstract
Introduction
Femur head necrosis (FHN) is a challengeable clinical disease with unclear underlying mechanism and a low rate of early diagnosis.
Objectives
To elucidate altered metabolism pathways in FHN and identify putative biomarkers for the detection of FHN.
Methods
we recruited 26 patients with femur head necrosis and 22 patients with femur neck fracture in this study. Cancellous bone tissues from the femoral heads were collected after the surgery and were analyzed using an untargeted metabolomics approach on the basis of gas chromatography-mass spectrometry (GC-MS).
Results
The resulting data were analyzed via uni- and multivariate statistical approaches, and we identified 38 metabolites distinctly changed in FHN group. Among them, 33 metabolites were upregulated and 5 were downregulated in FHN. The pathway analysis results showed that linoleic acid metabolism were the most relevant to FHN pathology. On the basis of metabolites network, L-lysine, L-glutamine and L-serine were deemed as the junctions of the whole metabolites. At last, we figured out that 9,12-octadecadienoic acid, inosine, L-proline and octadecanoic acid can be considered as the potential biomarkers of FHN.
Conclusion
Our study provided a new insight into the pathogenesis of FHN and identified 4 biomarkers in FHN. Linoleic acid metabolism could be considered as the core in FHN and 9,12-Octadecadienoic acid could be considered as the diagnostic marker.