bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbonate system in the Cabo Frio upwelling
Authors: Silva Carlos Augusto Ramos e , Fernandes Livia Viana de Godoy , de Souza Flavo Elano Soares , Marotta Humberto , Fernandes Flavio da Costa , Mello Thaise Machado Senez , Monteiro Nicole Silva Caliman , Rocha Anderson Araújo , Coutinho Ricardo , Fernandes Lohengrin Dias de Almeida , Damasceno Raimundo Nonato , Santos Ludmila Caetano dos 
Published: November 2022

Abstract
The quantitative assessment of the carbonate system represents one of the biggest challenges toward the "Sustainable Development Goals" defined by the United Nations in 2015. In this sense, the present study investigated the Spatio-temporal dynamics of the carbonate system and the effects of the phenoms ENOS and ENSO over the Cabo Frio upwelling area. The physical characterization of the site was carried out through data on wind speed and sea surface temperature (SST). Water samples were also collected during the oceanographic cruise onboard the Diadorim R/V (Research Vessel). From these samples, the parameters of absolute and practical salinity, density, pH, total alkalinity, carbonate, calcite, aragonite, \(C{O}_{3}^{2-}\), \(HC{O}_{3}^{-}\), dissolved inorganic carbon, carbon dioxide, partial pressure of carbon, calcium, and total boron were obtained. After the physical-chemical survey, the same parameters were calculated through thermodynamic modeling with the Marine Chemical Analysis (AQM) software loaded with the results of the following parameters: temperature, salinity, TA, and pH parameters. This manuscript presents an original data on the carbonate system and the "acidification" process influenced by the Cabo Frio upwelling, which directly depends on the El Niño and La Niña phenomena oscillations in the sea surface temperature (SST).
Drastic Fluorescence Enhancement of Metal-Organic Framework for Ultra-Efficient Detection of Trace Benzene Vapor
Authors: Li Wen-Bin , Wu Ying , Zhong Xiao-Feng , Chen Xiong-Hai , Liang Gang , Ye Jia-Wen , Mo Zong-Wen , Chen Xiao-Ming 
Published: November 2022

Abstract
Indoor detection of volatile organic compound (VOC, such as benzene and toluene vapors) concentration is necessary due to the serious toxicity hazards even at trace level. However, physisorbents usually exhibit weak interactions between sorbate and sorbent, thus exhibiting poor responsive signal especially in the presence of trace concentrations of VOCs. Herein, we report a new flexible metal-organic framework [Sr2(BINDI)(DMF)(H2O)]∙G (H4BINDI = N,N′-bis(5-isophthalic acid)naphthalenediimide, DMF = N,N-dimethylformamide, G = 0.6DMF) that exhibits interesting pore-opening behavior after immersing in H2O, hence allowing aromatic hydrocarbon molecules to diffuse into the pores. Interestingly, the pore-opening phase [Sr2(BINDI)(H2O)2] shows significant (∼116 fold) and extremely fast (< 1 minute) fluorescence "turn-on" behavior after exposed to saturated benzene vapor. The limit of detection concentration for benzene vapor can be calculated as 77 ppb. Thus this material represents the first MOF as fluorescent sensor achieving visual detection of trace benzene vapor by naked eyes. Theoretical calculations and single-crystal structure of [Sr2(BINDI)(H2O)2]⊃benzene reveal that the special "bilateral π-π stacking" interactions between electron-rich aromatic hydrocarbon and electron-deficient NDI cores facilitate electron transfer, and greatly enhance the intensity of fluorescence. Furthermore, this material can be fabricated into simple test strips, which enable visual detection of trace benzene vapor (3 ppm) under UV light.
Your neighborhood matters: an ecological social determinant study of the relationship between residential racial segregation and the risk of firearm fatalities
Authors: Shour Abdul R. , Anguzu Ronald , Muehlbauer Alice , Joseph Adedayo , Oladebo Tinuola , Puthoff David , Onitilo Adedayo A 
Published: November 2022

Abstract
Background: Firearm fatalities are a major public health concern, claiming the lives of 40,000 Americans each year. While firearm fatalities affect all, it is unclear how social determinants such as residential segregation affect firearm fatalities. To address this knowledge gap, this study investigates the relationship between residential segregation and the likelihood of firearm fatalities.
Methods: Ecological county-level data for 72 Wisconsin counties from the American Community Survey (ACS) were merged with Vital Statistics System mortality records (2015-2019). The study outcome was firearm fatalities, defined as the number of deaths due to firearms per 100,000 population from 2015 to 2019 (used as a continuous variable). The independent variable was residential segregation, using the 2015-2019 ACS-Dissimilarity Index (DI), which measures the degree to which non-white and white residents are distributed across counties and ranges from 0 (complete integration) to 100 (complete segregation), with higher values indicating greater residential segregation. Confounders included income inequality (2015-2019) and community resilience (2019). Poisson regression analyses were conducted using STATA/MP-v.17.0. P-values of ≤0.05 were considered statistically significant.
Results: From 2015 to 2019, there were 843 firearm fatalities. Mean (SD) residential segregation was 32.4 (13.1). Bivariate analysis indicates that an increase in residential segregation was significantly associated with increased firearm fatalities (Coef.:0.1,95%CI:0.05-0.06). Adjusted model results indicate that for every increase in residential segregation (by DI), the likelihood of firearm fatalities increased by 0.01% (Coef.:0.01,95%CI:0.007-0.02).
Conclusion: Residential segregation, among other social determinants, increases the likelihood of firearm fatalities. This research helps healthcare systems-based practitioners understand how the larger social context influences gun violence disparities.
Modelling of the effect of ATH fillers on the rheology, curing kinetics, and flexural properties of the epoxy resin forming the hydraulic turbines' stay vanes extension
Authors: Ouadday Rim , Boukhili Rachid , Vadean Aurelian , Abusrea Mahmoud 
Published: November 2022

Abstract
Epoxy resins are essential for the manufacturing of GFRP/XPS foam sandwich structures used for hydraulic turbine extension stay vanes. Their properties during and after curing are key factors for the performance of the entire hybrid composite structure. This paper introduces experimental characterization and modeling of the influence of the quantity and size of ATH fillers on the curing and post-curing characteristics of the epoxy resin. The experimental investigation involves the maximum temperature, polymerization time, shrinkage, viscosity, and flexural properties. The mass fractions of the ATH were 10, 20, 30, 40, 50, and 60%, and the particle sizes were 2, 4, 6, 8, and 12 µm. In addition, we utilized the multivariate polynomial regression (MPR) and artificial neural network (ANN) methods to develop empirical models to predict the maximum temperature, polymerization time, shrinkage, and flexural modulus. The experimental results showed that increasing ATH mass fraction with smaller particle size delayed polymerization and lowered the maximum temperature. The experimental viscosity values showed that Mooney model can accurately calculate viscosity as a function of ATH mass fraction and particle size, compared to the Quemada and Krieger-Dougherty models. Adding ATH increased flexural strength, modulus, and breakage strain. The developed models achieved a higher than 0.9 correlation coefficient between the predicted and measured responses and can be used to enhance the design and control the casting of the proposed sandwich structures.
Cultural adaptation and validation of Sinhala version of Modified Caregiver Strain Index
Authors: Ramadasa Udayangani , Silva Shehan , Uditha Udumulla , Perera Suraj , Lekamwasam Sarath 
Published: November 2022

Abstract
Background
Care givers of Palliated patients are at risk of adverse physical, psychosocial and emotional sequelae in varied nature. Efficient and valid assessment tools facilitate early detection to take corrective measures. The Modified Caregiver Strain Index (MCSI), composed of domains associated with caregiver strain is a simple and brief tool that can be used in both clinical and field settings. This study aims to adapt and validate this in order to cater effective palliative care services in Sri Lanka.
Methods
After cross-cultural adaptation, 200 primary caregivers in 3 teaching hospitals were recruited. The internal consistency, item-total correlations, of the 13-item S-MCSI were performed. The criterion validity was assessed by Pearson correlation between the total scores of S-MCSI, the Karnofky Performance Scale and the Barthel index. Construct validity was determined by the principal component analysis keeping the Varimax with Keiser normalization as the rotation method. The Kaiser-Meyer-Olkin test (KMO) and Bartlett’s test of sphericity statistics were also performed to determine the adequacy of the sample and correlations between items, respectively. The number of factors was determined by the Scree plot, percentage of variance explained by each component and number of Eigen values over 01 (Kaiser-Guttman rule).
Results
The total MCSI score ranged 0 to 26. The overall Cronbach’s alpha of the 13-item questionnaire was 0.80 while item-total corrections ranged 0.34 to 0.62, exception of one item (0.11). Inverse correlations were demonstrated in total scores of MCSI and Karnofky Performance Scale (r =- 0.32, p < 0.001) and Barthel index (r =-0.34, P < 0.001). A Kaiser-Meyer-Olkin value of 0.79 (p < 0.001) for Bartlett’s test indicated adequate sampling and nonlinearity of factors. The Scree plot showed a three-factor structure explaining 57% of the variation. Items regarding personal wellbeing of caregiver loaded together while the effects on the family loaded separately. Adjustment of personal concerns and family issues along with time alteration grouped as the third factor.
Conclusions
The study showed that the Sinhala version of MCSI has adequate psychometric properties and reliability to be used as a validated tool to estimate the caregiver burden within a short time period for any health care workers.
Cell Tracking with Multifeature Fusion]{Cell Tracking with Multifeature Fusion
Authors: Wang Fei , Li Huawei , Yang Wanli , Jin Shidong , Gao Peng 
Published: November 2022

Abstract
Cell tracking is currently a powerful tool in a variety of biomedical research topics. Most cell tracking algorithms follow the tracking by detection paradigm. Detection is critical for subsequent tracking. Unfortunately, very accurate detection is not easy due to many factors like densely populated, low contrast, and possible impurities included. Keeping tracking multiple cells across frames suffers many difficulties, as cells may have similar appearance, they may change their shapes, and nearby cells may interact each other. In this paper, we propose a unified tracking-by-detection framework, where a powerful detector AttentionUnet++, a multimodal extension of the ECO algorithm, and an effective data association algorithm are included. Experiments show that the proposed algorithm can outperform many existing cell tracking algorithms.
A data–driven model to predict a household’s capacity to graduate. Case ofUSAID/Twiyubake Program
Authors: Muramira Absolom , Nkurunziza Joseph 
Published: November 2022

Abstract
The USAID funded Twiyubake program applied a dual systems and family-centered approach to provide a comprehensive package of services that aimed to strengthen the capacity and resilience of the targeted vulnerable families/households. The program built upon and strengthened existing community care structures to deliver and sustain high quality services to the enrolled households including economic strengthening, health promotion, water sanitation and hygiene etc. The Household Vulnerability and Graduation Assessment was used by Twiyubake program to determine household capacity to graduate from direct program assistance. The dataset used in this study came from the Twiyubake program’s annual monitoring data. Five different machine learning classification models namely Logistic Regression, Random Forest, Gaussian Naive Bayes, K-Nearest Neighbors, and Multi-Layer Perceptron, were used to build a predictive model of household capacity to graduate. The performance of predictive models was assessed using a variety of metrics, including the confusion matrix, accuracy, precision, recall, F1 score, and the Area under the Receiver Operating Characteristics. The results showed that the Random Forest model correctly predicted household graduation capacity with 94.8 percent of the accuracy, with recall score of 94.8 percent, precision score of 94.8 percent, and F1 score of 94.8 percent. Overall, all the machine learning algorithms performed very well with over 85 percent performance on the different evaluation parameters used. The Random Forest model was recommended as the best household graduation prediction classifier for the Twiyubake program since it performed better than the rest.
PAK Inhibitor FRAX486 Represses Metastatic Potential of Triple-negative Breast Cancer Cells by Blocking Autophagy
Authors: Li Huihui , Lyu Liang , Li Haiyan , Lu kefeng , Jiang Shu 
Published: November 2022

Abstract
Triple-negative breast cancer (TNBC) is a unique breast cancer subtype with high risk for metastasis and recurrence and poor prognosis. Epithelial-mesenchymal transition (EMT) endows epithelial cells with mobility to move to distant sites, which is essential for metastasis of TNBC to organs including lung. Autophagy, an intracellular degradation process through forming double-layered lipid autophagosome that transports cytosolic cargoes into lysosome after autophagosome-lysosome fusion, is involved in EMT of cancer cells. Here, we report a role for FRAX486, a potent P21- activated kinase 2 (PAK2) inhibitor, in TNBC suppression both in vitro and in vivo by blocking autophagy. Mechanistically, FRAX486 inhibits autophagy in TNBC cells through targeting PAK2, leading to the ubiquitination and proteasomal degradation of STX17 that mediates autophagosome-lysosome fusion. The inhibition of autophagy by FRAX486 causes up-regulation of epithelial marker protein E-cadherin and thus suppresses the migration and metastasis of TNBC cells. The effects of FRAX486 in TNBC metastasis suppression are verified to be relied on PAK2 and autophagy inhibition. Together, our results provide a molecular basis for the application of FRAX486 as a potential option to inhibit the metastasis of TNBC.
Prevalence and antibiotic susceptibility pattern of bacteria from sepsis suspected neonates at St. Paul Hospital Millennium Medical college, Addis Ababa, Ethiopia.
Authors: Sherif Merema , Abera Dessie , Desta Kassu 
Published: November 2022

Abstract
Background: Neonatal sepsis is the major cause of neonatal mortality and morbidity, especially in low and middle-income countries. Continuous monitoring of pathogens and their antibiotic susceptibility pattern is crucial for managing neonatal sepsis. This study aimed to determine neonatal sepsis due to bacteria, antibiotic resistance patterns, and patient outcomes at St. Paul’s Hospital Millennium Medical College.
Method: Across sectional study was conducted on 400 neonates at St. Paul’s Hospital Millennium Medical College from March 2020 to July 2020. Socio-demographic characteristics were collected from each patient using questionnaires. About 2ml of blood was drawn aseptically and inoculated at the bedside on Tryptone Soya Broth. Bacterial identification was performed by using standard microbiological techniques. The disk diffusion method was used to determine the antibiotic susceptibility patterns of each isolated bacteria. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 20 software.
Results: The overall prevalence of neonatal septicemia was 21% (84/400). Of this, 79.8% (67) and 20.3% (67) were gram-negative and gram-positive bacteria respectively. Klebsiella spp, 44% (37), E. coli 21.6% (19), and Coagulase negative Staphylococci 15.47% (13) were the leading cause of neonatal sepsis. Ciprofloxacin and Amikacin were the most effective antibiotics for gram-negative bacteria while Vancomycin, Clindamycin, and Ciprofloxacin were effective against gram-positive bacteria. Low birth weight and preterm were associated with neonatal septicemia (AOR= 49.90, 95%CI=15.14-123.081, P=0.002, and AOR=18.20, 95% CI=6.835-27.541, P=0.004) respectively.
Conclusion: Klebsiella spp and E. coliwere frequently isolated bacteria in neonatal sepsis. The overall prevalence of MDR was significantly high, and commonly used antibiotics such as Ampicillin and Gentamicin were infective to treat neonatal sepsis. This indicates the necessity of early detection of septicemia and continuous evaluation of antibiotic resistance. A large-scale study is required to investigate the magnitude of neonatal sepsis.
The Clinical Learning Expieriences of Male Nursing Students in Maternity Wards at Training Hospitals in Khomas Region, Namibia.
Authors: Joao Ildefonsina Natalie , Kadhila Joseph Galukeni 
Published: November 2022

Abstract
Background
Clinical learning in nursing is very important because this when students get to practice what they learn theoretically and actually put in to action. Many males are now starting to join the nursing field, and with this they tend to have a more different experience than that a female nursing student would experience, especially in the maternity wards. The purpose of this study was to explore and describe the clinical learning experiences of second, third and fourth year male degree nursing students regarding their clinical learning experiences in the maternity wards at training hospitals in Khomas region.
Methods
The researcher collected data by conducting one-one interviews with male nursing students from the fourth, third and second year. The data was analyzed according to the two objectives of this study based on Teschs method of qualitative data analysis.
Results
The study revealed that the male nursing students endured many challenges such as rejection from patients due to their cultural beliefs, with that it had an impact on their self- esteem and self-worthiness as student nurses. The participants also mentioned that they experienced a poor interpersonal relationship with the registered nurses and that the clinical instructors were not very present with them during their clinical practice.
Conclusion
With the above mentioned, the researcher recommends that the training institutes put more effort in preparing male students about the challenges they might face when they do enter the clinical setting, this will help male students be better prepared and deal better with the challenges they might face. The training hospitals and the training institutions can set up a program where male nursing students are placed or delegated at least once with another male registered nurse so that the male nursing student may have a role model and not feel like his alone. All of this is critical for the professional growth of the male nursing students.
Artesunate acts through cytochrome c to inhibit growth of pediatric AML cells
Authors: Hill Kristen S. , Schuler Erin E. , Ellingson Sally R. , Kolesar Jill M. 
Published: November 2022

Abstract
Artesunate is a derivative of artemisinin, an active compound isolated from Artemisia annua which has been used in Traditional Chinese Medicine and to treat malaria worldwide. Artemisinin derivatives have exhibited anti-cancer activity against both solid tumors and leukemia. The direct target(s) of artesunate are controversial; although, heme-bound proteins in the mitochondria have been implicated. We utilized computational modeling to calculate the predicted binding score of artesunate with heme-bound mitochondrial proteins and identified cytochrome c as potential artesunate target. UV-visible spectroscopy showed changes in the absorbance spectrum, and thus protein structure, when cytochrome c was incubated with artesunate. Artesunate induces apoptosis, disrupts mitochondrial membrane potential, and is antagonized by methazolamide in pediatric AML cells indicating a probable mechanism of action involving cytochrome c. We utilized a multi-disciplinary approach to show that artesunate can interact with and is dependent on cytochrome c release to induce cell death in pediatric AML cell lines.
Controlled On-chip Fabrication of Large-scale Perovskite Single Crystal Arrays for High-performance Laser and Photodetector Integration
Authors: Pan Caofeng , Xu Zhangsheng , Han Xun , Wu Wenqiang , Li Fangtao , Lu Hui , Lu Qiuchun , Ge Binghui , Cheng Ningyan , Li Xiaoyi , Yao Guangjie , Hong Hao , Liu Kaihui , Wang Ru 
Published: November 2022

Abstract
Metal halide perovskites possess intriguing optoelectronic properties, however, the lack of precise control of on-chip fabrication of the large-scale perovskite single crystal arrays restricts its application in integrated devices. Here, we report a space confinement and antisolvent-assisted crystallization method for the homogeneous perovskite single crystal arrays spanning 100 square centimeter areas. This method enables precise control over the crystal arrays, including different array shapes and resolutions with less than 10%-pixel position variation, tunable pixel dimensions from 2 µm to 8 µm as well as the in-plane rotation of each pixel. The crystal pixel could serve as a high-quality whispering gallery mode microcavity with a quality factor of 2915 and a threshold of 4.14 µJ/cm2. Through directly on-chip fabrication on the patterned electrodes, a vertical structured photodetector array is demonstrated with stable photoswitching behavior and the capability to image the input patterns, indicating the potential application in the integrated systems of this method.
Effect of 10.6μm CO2 laser moxibustion on the fastest walking time of 15 meters in patients with knee osteoarthritis
Authors: Chen Lusheng , Zhao Ling , Cheng Ke , Lin Lin , Wu Fan , Shen Xueyong 
Published: November 2022

Abstract
Background To observe the effect of 10.6μm CO2 laser moxibustion (LM) on the fastest 15-meter walking time of patients with knee osteoarthritis (KOA).
Methods 392 patients with KOA who met the inclusion criteria were randomized into the LM treatment group and sham LM control group (ratio 1:1). LM or sham LM was used to treat the affected part of the knee joint, 3 times a week for 4 weeks.
Results In the LM group, the fastest walking time of 15 meters at Week 4 and Week 12 was shorter than that before treatment (all P < 0.05); In the sham LM group, there was no significant difference in the fastest walking time of 15 meters after treatment (all P > 0.05); The fastest walking time of 15 meters in CO2 LM group was shorter than that in sham LM group at Week 4and Week 12 (all P < 0.05).
Conclusion CO2 LM can significantly improve the fastest 15-meter walking time of patients with knee osteoarthritis, and its curative effect can last for at least 8 weeks after treatment. The fastest 15-meter walking time can reflect changes in the walking ability of patients with knee osteoarthritis.