bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Compensatory Approach for Enhancing the Strength and Durability of Green Concrete Composites (GCC) with Multiple Combinations of Recyclable Pozzolanic Materials (RPM)
Authors: ARIYAGOUNDER JAYARAMAN , MANGOTTIRI VASUDEVAN 
Published: December 2023

Abstract
Recyclable Pozzolanic materials (RPM) derived from wastes are increasingly used in mortar and concrete for a number of purposes, chief among them being the reduction of cement quantity, which lowers construction costs as well as carbon footprint. Among these, the most often used mixture ingredients in concrete are fly ash (FA), rice husk ash (RHA), palm oil fuel ash (POFA), granulated slag (GS), silica fume (SF), construction debris waste powder (CDW), and calcined clay (CC). Recent studies reveal that they are reasonable to impart mechanical strength when applied individually; however, their combined effects are not extensively investigated due to the characteristic conflicts existing in their elemental composition and the resulting pozzolanic activities. We present a comprehensive evaluation of durability and strength properties of different combinations of binary and ternary replacements of specific pozzolanic components in varying amounts (5%, 10%, 15%, and 20%). These combinations were so chosen as to provide a compensatory effect on the apparent binding properties based on the difference in their geometry and composition. The results indicate that 5% of the ternary combination had good corrosion resistance and durability, whereas 10% of the single mode, 5% of the binary mode, and 5% of the ternary mode have high mechanical properties, durability, and resistance to corrosion. These insightful findings show that use of optimized mixtures of composite pozzolanic materials can improve the mechanical properties of concrete mixes by compensating each other for their intrinsic limitations, thereby ensuring higher sustainability towards green concrete applications.
Examination of the expression of LSINCT5 lncRNA and its potential as a biomarker in Iranian colorectal cancer patients
Authors: Kardoost Aynaz Mohammadi , Sehrig Fatemeh Zeinali , Khajehnasiri Nazli , Abdi Adel 
Published: December 2023

Abstract
Purpose
Colorectal cancer (CRC) is a leading cause of death among cancer patients. Long noncoding RNAs, or lncRNAs, are becoming essential cancer regulators. However, it is still unknown how most of them are expressed, what their roles are, and how their molecular mechanisms function in colorectal cancer (CRC). The present study evaluated the expression of the lncRNA LSINCT5 in noncancerous tissues and primary colorectal cancers.
Methods
Samples were collected from 100 cases of colorectal cancer that included tumor tissues and adjacent non-tumor tissues. RNA isolation and cDNA synthesis were done. The qRT-PCR was utilized to assess the LSINCT5 gene's expression.
Results
Tumors have significantly higher levels of LSINCT5 expression than the non-cancerous adjacent tissues (P = 0.0008). LSINCT5 may function as a poor diagnostic biomarker, according to the results of the ROC curve, which showed AUC values of 0.6514, specificity values of 0.68, and sensitivity values of 0.60.
Conclusion
Our research suggested that increased expression of LSINCT5 in tumor tissues of CRC patients may be engaged in promoting and developing CRC cells as a novel oncogene. Additionally, LSINCT5 can be considered a poor diagnostic biomarker for CRC diagnosis.
Pattern learning for scheduling microservice workflow to cloud containers
Authors: Li Wenzheng , Li Xiaoping , Chen Long 
Published: December 2023

Abstract
Patterns are crucial for efficiently scheduling microservice workflow applications to containers in cloud computing scenarios. However, it is challenging to learn patterns of microservice workflows because of their complex precedence constrained structures provided by users with more lightweighted, diversified, and personalized services. In this paper, we propose a graph neural network is designed to identify patterns within a set of microservice workflows by mining the common substructures of workflows. Based on the learned patterns, a pattern-based scheduling algorithm framework is developed for microservice workflows with soft deadline constraints to minimize the average tardiness. A sorting strategy is introduced based on urgency and pattern coverage rate. For simplification of the task sorting process, the pattern-based task sorting algorithm (PB-TS) is devised. Furthermore, a resource selection phase is incorporated to the pattern-based resource selection algorithm (PB-RS) to minimize the candidate resource space. Experimental results demonstrate the proposed method is much efficient as compared to three classical algorithms.
Perceived Risk of Developing Severe Illness or Complications Due to Covid-19 in the Brazilian Population
Authors: Rosa Rander Junior , Ferezin Letícia Perticarrara , Moura Heriederson Sávio Dias , Berra Thaís Zamboni , de Araújo Juliana Soares Tenório , Tártaro Ariela Fehr , Vaz Reginaldo Bazon , Ribeiro Natacha Martins , Alves Yan Mathias , Teibo Titilade Kehinde Ayandeyi , Ramos Antônio Carlos Vieira , Nascimento Murilo César do , Olayemi Ademo Oluwaseyi , Souza Rosa Maria Pinheiro , Severina Alice da Costa Uchôa , Arcêncio Ricardo Alexandre 
Published: December 2023

Abstract
Background
The perception of the risk of developing serious illness as a result of COVID-19 was one of the first reports used to reflect the health condition of infected people after hospital admission. The effects of COVID-19 are more severe in individuals with chronic noncommunicable diseases (NCDs), indicating that the characteristics and implications of these diseases in people with COVID-19 need to be investigated.
Methods
This cross-sectional study was was carried out with 1961 people aged 18 or older living in Brazil. An open research approach (survey) was used for the sample design, which involved the use of an online questionnaire. Descriptive statistical analysis and logistic regression were applied to identify factors associated with the perceived risk of complications due to COVID-19.
Results
The sample was mostly composed of women (n = 1383; 70.5%), 18 to 39 years old (n = 1144; 58.3%), and white (n = 1140; 56.4%). It was possible to observe that people who perceived a risk of developing diseases or complications if they became infected with COVID-19 were more likely to have a chronic noncommunicable disease (NCD) (OR: 4.51; 95% CI: 3.61–5.65), self-perception of potential risk of becoming infected with COVID-19 (OR: 2.34; 95% CI: 1.87–2.93), self-perceived potential risk of the population becoming infected with COVID-19 (OR: 5.80; 95% CI: 3.30–10.74), wearing a protective mask (OR: 12.98; 95% CI: 5.8–31.35) during the pandemic period and having a religion (OR: 1.29; 95% CI: 1.02–1.63).
Conclusions
The study showed that the perception of the risk of developing a severe form of the disease was significant in certain groups, such as religious people or those with chronic noncommunicable diseases.
Belt and road initiative as a gender equalizer: Decomposing the impact of belt and road initiative trade on gender wages gap in participating countries
Authors: suhrab muhammad , Qian Ningyu , Pinglu Chen 
Published: December 2023

Abstract
Background: The number of people living with congenital heart disease (CHD) in 2017 was estimated to be 12 million, which was 19% higher than that in 1990. However, their death rate declined by 35%, emphasizing the importance of monitoring their quality of life due to its impact on several patient outcomes. The main objective of this study is to analyze how parents’ psychosocial factors contribute to children’s and adolescents' perceptions of their QoL, focusing on their medical condition. More specifically, we explore how parental psychological dimensions, such as anxiety and depression, are related to patients’ health-related quality of life (HRQoL).
Methods: We recruited 447 children aged 5 to 18 years with a CHD diagnosis and their parents (319 mothers and 229 fathers) from January to December 2018. Patients were referred to the Cardiology Department of “Bambino Gesù” Children’s Hospital and participated in multidisciplinary standardized follow-up. Children and adolescents were submitted to a comprehensive evaluation by different physicians, including pediatric cardiologists, surgeons, and psychologists, at preset time frames. A series of standardized questionnaires were administered during psychological assessment.
Results: The main findings show a negative correlation between mothers’ anxiety and three patients' HRQoL subscales (Treatment II, Treatment anxiety, and Communication). Similarly, mothers’ depression correlates negatively with other patients’ HRQoL subscales (heart problems, symptoms, perceived physical appearance, cognitive problems, and communication). Fathers' anxiety and depression show negative correlations with only the subscale of Treatment II. More generally, the perceived quality of life of children and adolescents with CHD is influenced by their medical conditions as well as the parents’ psychological dimensions.
Conclusions: Our findings suggest that the caregivers of pediatric patients with CHD are more exposed to psychological problems of anxiety and depression, which affect the perceived quality of life of their children. Longitudinal research with a healthy control group is recommended to further consolidate this evidence.
Growth and Inequality Effects of Reforms from the Perspective of Defining and Measuring: A Model Essay on Turkey
Authors: YALÇINKAYA Ömer , KAYA Vedat , ERKAL Gökhan 
Published: December 2023

Abstract

This study focused on Turkey, where reform programs have become pervasive since the 1990s, and the potential effects of reforms on growth and inequality were investigated. In the study, financial, fiscal, real, and trade sector reforms for Turkey were defined by IMF-MONA classifications, measured from the Official Gazette of the Presidency of the Republic of Turkey from 1990 to 2021, and their effects on growth and inequality were analyzed using the Augmented ARDL method. As a result of the study, it was determined that 102 reform proposals regarding the IMF-MONA classifications were implemented in Turkey during the review period. These reforms introduced significant regulations for the economic system's functioning in scope and content in the financial, fiscal, real, and trade sectors. In addition, it was determined that reforms in Turkey have varying effects on growth and inequality based on sector and that fiscal sector reforms stand for growth trade-offs. These findings indicate that reforms implemented in Turkey regarding IMF-MONA classifications support growth without increasing inequalities and can significantly enhance the inclusiveness and sustainability of growth.JEL Classification Codes:C01, C13, F43, O11.
What does mBERT layers encode from code-switched data?
Authors: Chakka Chaitanya , R Mithun Kumar S , Malapati Aruna 
Published: December 2023

Abstract
BERT is an encoder transformer model that generates contextual representation in English monolingual data. Multi-lingual BERT (mBERT) extends BERT's capability to more than 104 languages. The better performance in downstream NLP tasks by these models is attributed to the layered architecture. In monolingual data, embedding these layers encodes linguistic information helpful in numerous tasks like Parts of Speech (POS) tagging, Named Entity Recognition (NER), finding structural dependency, etc. We hypothesize that the hidden states contain a lot of valuable information, and investigating the effectiveness of using the pre-trained features extracted from different layers of the mBERT model would help us unravel more linguistic properties of code-switched data. We use probing tasks, which are auxiliary tasks that aid in isolating a linguistic property that helps understand the behavior of each layer within the model. We introduce a novel mechanism using five different probing tasks like gender, mood, number, person, and tense that help highlight and detect linguistic phenomena of interest. We then continue to use these datasets to determine what layers of mBERT are performing better for each task using MCC and F1 measure scores. We observe that the tasks that involved syntactic tasks are better performed at the layers below the 5th layer; as the tasks keep reduced in syntactic importance, the better-performing layers move towards the last layers, reinforcing the behavior seen when the same tests are performed in monolingual corpora.
Safety and Efficacy of of apatinib combined with chemotherapy in the second-line and subsequent lines of advanced gastric cancer: A systematic review and meta-analysis
Authors: Li Yuqi , Pan Di , Liu Haonan , Yao Zhiyuan , Wang Haiyan 
Published: December 2023

Abstract
Objective
A meta-analysis was performed to compare the efficacy and safety of apatinib combined with chemotherapy in the second-line and subsequent lines of advanced gastric cancer.
Methods
A computerized systematic search of databases such as PubMed, Embase, the Cochrane Library, CNKI, Wanfang Data, and VIP e-Journals was performed to find literature comparing apatinib combined with chemotherapy in the treatment of advanced gastric cancer.Literature search, quality assessment and data extraction were performed independently by two researchers. Stata 16 software was used to process and analyze the data. And, we assessed heterogeneity with I2 and p-value, and performed sensitivity analysis.
Results
A total of 1217 patients with advanced gastric cancer were included in 13 studies, including 652 patients in the apatinib combined with chemotherapy group and 565 in the chemotherapy group.Meta-analysis results showed that the objective response rate (ORR) of the observation group was better than that of the control group(0R = 2.49, 95% CI = 1.86–3.34), and the disease control rate (DCR) of the observation group was also better than that of the control group(OR = 2.78,95% CI = 2.11–3.66).The R0 resection rate was also statistically significant(OR = 2.31, 95% CI = 1.09–4.92).In addition, when comparing total adverse reactions (AEs) at any level, there was a statistical difference(OR = 1.61, 95%CI = 1.39–1.86).
Conclusion
Compared with the chemotherapy group, apatinib combined with chemotherapy has better efficacy and controllable safety in advanced gastric cancer.
Incidence and Predictors of Acute Kidney Injury among Patients Admitted to Adult Intensive Care Unit at West Amhara Comprehensive Specialized Hospitals, Northwest Ethiopia: A multicenter retrospective follow-up study
Authors: Beyene Meseret Mekuriaw , Azagew Abere Woretaw , Abetew Kennean Mekonnen , Alemu Gebrie Getu , Aynalem Zewdu Bishaw , Guadie Bazezew Asfaw 
Published: December 2023

Abstract
Introduction: Acute kidney injury (AKI) is a clinical syndrome characterized by a sudden decrease in or loss of kidney function. In Ethiopia, the morbidity and mortality associated with acute kidney injury is an important challenge for the health community and patients. However, there is limited evidence on the incidence and predictors of acute kidney injury among intensive care unit patients in Ethiopia.
Objective: To assess incidence and predictors of acute kidney injury among intensive care unit patients in West Amhara comprehensive specialized hospitals, Northwest Ethiopia, 2023.
Methods: A multicenter institution-based retrospective follow-up study was conducted from January 1, 2020-December 31, 2022 among intensive care unit patients admitted to West Amhara comprehensive specialized Hospitals, Northwest Ethiopia. A total of 628 patient charts were chosen using systematic random sampling. Data were collected using a checklist, entered using Epi-data 4.6, and exported to STATA version 14 software for data analysis. After the bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with 95% confidence intervals (CI) at p-value of <0.05 was reported to declare the strength of association and statistical significance, respectively.
Result: The overall incidence rate of acute kidney injury was 19.67 per 1000 (95% CI: 15.76-24.56) person-day of observation with a median survival time of 17 days (IQR=11–35). Sepsis (AHR= 2.02: 95% CI: 1.06, 3.85), diabetes mellitus (AHR=2.46: 95% CI: 1.44, 4.22), congestive heart failure (AHR= 3.11: 95% CI: 1.57, 6.16), Anemia (AHR=3.28: 95% CI: 1.77, 6.09), Vasopressors (AHR=2.57: 95% CI: 1.35, 4.90), and thrombocytopenia (AHR= 2.18: 95% CI: 1.20, 3.96) were found to be significant predictors of acute kidney injury among patients admitted to ICU.
Conclusion and recommendation: The overall incidence rate of acute kidney injury among patients admitted to the intensive care unit was lower as compared to studies conducted in developed countries. Sepsis, diabetes mellitus, congestive heart failure, anemia, vasopressors and thrombocytopenia were predictors of acute kidney injury. Therefore, health care providers shall give special emphasis and close follow-up for those patients to reduce the risk of AKI.
Factors associated with low tuberculosis case detection and investigation in public health facilities (PHFs) in Uganda: A case study of Bududa district
Authors: Tumuhairwe Imelda , Komuhangi Alimah , Okello Alfred , Ayebale Apolo , Buyinza Ambrose Wabwire , Bwire Godfrey 
Published: December 2023

Abstract
Background
Although great strides have been made to control and cure tuberculosis (TB) globally, Uganda has a high burden with an annual incidence of 200/100,000 persons and a mortality rate of 35 per 100,000 persons. The extent to which patients with symptoms indicative of TB access care and receive TB testing at public health facilities (PHFs) in Bududa districts, eastern Uganda, and the factors associated with it are unknown. This study aimed to determine the proportion of patients with symptoms that might suggest TB and received care and TB testing at the PHFs in Bududa districts and to explore the factors that were associated with this proportion.
Methods
A cross-sectional study that employed both quantitative and qualitative data collection techniques was conducted in November 2019 on consenting respondents with symptoms that might suggest TB who sought care in PHFs in Bududa districts and key informants overseeing TB care in the district.
Findings:
A response rate of 97.6% (249/255) was recorded. Only 18.8% (46/256) of respondents who reported having symptoms suggestive of tuberculosis were investigated for TB. The majority of patients, 87.4% (214/245), never had sputum requested, and up to 91.7% (222/242) never had a chest X-ray (CXR) done. Participants who came through the outpatient department (OPD) were 12% less likely to be screened or investigated for TB than those coming through the ART clinic (PR = 0.88, 95% CI (0.79, 0.98). Patients who came from rural areas were 26% more likely to miss TB screening or investigation compared to those patients from urban areas (PR = 1.26, 95%CI (1.16, 1.38). Factors contributing to low TB detection rates were too much workload, lack of technical staff to carry out TB investigation and diagnosis, inadequate supplies and TB medicines, lack of equipment and unreliable electricity.
Conclusion
This study highlights the need for increased TB screening and investigation in PHFs in Bududa district, particularly in rural areas. To improve TB detection, investigation and diagnosis, the healthcare system invests in more technical staff, equipment, protective gear, and TB drugs. Additionally, the healthcare system should ensure that there is adequate reliable electricity to avoid equipment breakdowns.
Investigating Canadian Radiology Residents’ Personal Financial Literacy: A Nation-Wide Assessment.
Authors: Sharifabadi Anahita Dehmoobad , Bellini Jonathan , Alabousi Abdullah , Monteiro Sandra , Mensinkai Arun , Al-Arnawoot Basma 
Published: December 2023

Abstract
Introduction:Resident physicians throughout Canada carry large debt to finance their education. The literature suggests that debt and money management both play a large role in day-to-day life decisions and in deciding the future of physicians. The objective of this observational study is to assess the financial literacy of Canadian radiology residents through testing their financial knowledge and obtaining an understanding of their financial wellness.
Methods:A survey was designed to assess the financial literacy and current financial status of radiology residents. After a pilot run to ensure robustness, the survey was distributed nationally to Canadian radiology residents via Google Forms. Descriptive analyses on preliminary data and the association between level of training and financial quiz scores were obtained.
Results:In total, 104 valid responses from 16 universities were received. Respondents’ levels of training were spread across the 5 training levels. The majority (53%) of residents indicated that their debt was greater than $150,000, yet only 12% of residents stated they had a formal financial residency curriculum. The average score of residents on the financial literacy quiz was 71% and survey quiz scores were not associated with training level (p = 0.71). The majority (89%) of residents indicated a strong interest in a formal financial literacy curriculum, with 80% stating they would like the curriculum delivered by other physicians.
Conclusion:Our findings demonstrate unique insight into the financial literacy and demographics of Canadian radiology residents. Overall, residents face a high debt burden and the majority feel that they do not have an adequate financial literacy curriculum in their program. Current resident physicians value a formal financial literacy curriculum as a part of their residency program despite existing financial knowledge. Most importantly, residents feel that a curriculum created with involvement of other physicians would be optimal.
Prognostic nomogram of the young renal cell carcinoma patient: a SEER-based study
Authors: Huang Yanping , Chen Yonggui 
Published: December 2023

Abstract
Objective
We have constructed and verified nomograms to predict survival in young renal cancer survivors.
METHODS
We used the US SEER database to conduct a population-based cohort study. Patients diagnosed with young renal cancer were abstracted from the 2000–2018 Surveillance, Endemic Epidemiology, and End Results (SEER) data base, and variables were screened by both univariate and multivariate logistic regression analysis. Risk factors that were statistically meaningful were used to establish predictive models. The areas of the curve (AUC) of the working characteristics of the subjects were used to assess the models' performance.Accuracy and clinical usability were evaluated based on the results of ROC curve, C-index and DCA curve.
RESULTS
The training cohort in this study includes 3306 patients with a validation cohort of 1416 patients.Multifactorial analysis indicated that patients who were young, married, well-differentiated, low T, N, M stage, and surgery had improved prognosis. The nomogram included 12 independent factors affecting overall survival. The model had a c-index of 0.82, which represents predictive accuracy.The AUC values in the validation set were 0.91, 0.85 and 0.82 for 1, 3 and 5 years, depending on the type of the validation set.The model was shown to have high computational accuracy.The DCA results indicated that the model had a favorable net benefit for patients with renal cell carcinoma.
CONCLUSION
We have successfully structured the accurate and effective nomograms to predict the prognosis of young renal cancer patients, which helps physicians to choose individualized treatment strategies for young renal cancer patients.