bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid Approach for Fault-Tolerance aware Load Balancing in Fog Computing
Authors: Kashyap Vijaita , Ahuja Rakesh , Kumar Ashok 
Published: September 2023

Abstract
Fog computing has grown in popularity in recent years because to its potential to deliver real-time processing, low latency, and reduce network congestion. However, the implementation of Internet of Things (IoT) enabled smart devices in environments using fog computing may lead to resource limitations and higher computational demands. Load balancing and fault tolerance strategies are necessary to tackle these difficulties for optimal resource usage and system availability. In order to accomplish fault tolerance aware load balancing in fog computing, a hybrid meta-heuristic approach in this study that combines the Modified Harris-Hawks Optimization (MHHO) and Ant Colony Optimization (ACO) is proposed. The MHHO algorithm is utilized for load balancing, whereas the ACO algorithm is used for fault tolerance. By employing the proposed technique, the load on fog nodes is balanced, the makespan time is minimized, energy consumption and execution costs are minimized, and fault tolerance in fog computing environments is ensured. It is evaluated using a simulation framework built on the iFogSim toolkit. In terms of load balancing, fault tolerance, and other factors, the results of the experiments show that the suggested hybrid algorithm performs better than earlier state-of-the-art methods.
Formative research to understand food beliefs and practices relating to pregnancy on Kei Besar Island, Eastern Indonesia
Authors: Mogi Jessica Gloria , Premikha M , Gittelsohn Joel , Sanjaya Adhi , Nabila Ona , Prihartono Indira 
Published: September 2023

Abstract

Background
Food-related beliefs and practices during pregnancy may contribute to the high prevalence of chronic energy deficiencies (CED) in Eastern Indonesia. Currently, little information on these issues is available. This study investigates food beliefs and practices related to pregnancy on Kei Besar Island in the Maluku province of Eastern Indonesia.
Methods
A qualitative study was conducted utilizing in-depth interviews, free lists, and pile sort exercises. Data collection was conducted in January 2023 and involved pregnant women (n = 12), community health volunteers (n = 2), and traditional healers (n = 3) from 9 villages in Kei Besar District.
Results
The need to avoid or minimize consumption of certain foods during pregnancy, such as some kinds of fish, chili and spicy food, soda, pineapples, octopus, squid, and ice was reported by more than one-third of all participants. Consumption of prescribed foods, such as cassava leaves, papaya, coconut water, rice during early pregnancies, moringa leaves, bananas, and katok leaves was reported by five or more participants. These food proscriptions and prescriptions were due to concerns about the risks of miscarriage, adverse effects on the fetus and mother, and complications during labor. Participants also reported other practices, such as eating for two during early pregnancy and reducing food intake in late pregnancy.
Conclusions
Food beliefs are present and practiced in the Kei Besar community and may impact the nutritional status of women and their infants. Interventions should target training healthcare providers and community health volunteers to provide culturally appropriate health education that incorporates prescribed local ingredients and provides nutritionally adequate substitutes for the proscribed food items.
Trial Registration:
Not applicable
Optical, structural and hydrophilic characteristics of synthesized Mn doped SnO 2 thin films
Authors: Ali Falah H. , Salman Hiba Mohammed 
Published: September 2023

Abstract
Sol-gel is a good technique and adopted for synthesizing SnO2 and Mn SnO2 nanoparticles then deposited thin films using dip-coater. Absorption was explaining high transmittance for visible region for all samples. XRD patterns where indicate nano crystalline tetragonal phase unchanged when increasing Mn Concentrations. AFM was used to analyze the nature of surfaces and revealed the lowest average roughness (9.489) at (3%), which is a significant finding for self-cleaning technology. Finally, contact angle measurements show that contact angle was change with doping concentration and decrease with increasing UV irradiation time and it changes turbulently and unreliable with increasing irradiation period in the visible region and this indicate good and novel result in Hydrophilicity.
Factors contributing to job satisfaction and turnover intentions: Analysis of data from 10 Japanese industries
Authors: Kato Takumi , Koizumi Masaki 
Published: September 2023

Abstract
Background While the extant literature has presented various factors underlying employee attitude, researchers may have overestimated the effects by analyzing these factors individually. This study clarified the differences in the factors contributing to job satisfaction and turnover intentions, focusing on 10 factors—eight from the literature (rewarding work, skill acquisition, fair wages, work–life balance, flexible work, office equipment, relationships with superiors, and corporate social responsibility) and two new factors: company philosophy and advanced technology.Methods Following a literature review and hypotheses development, we applied structural equation modeling to online survey data of 1,000 workers employed in 10 industries (automobiles, banking, clothing, cosmetics, electronics, food, government, IT, medical and health care, and retail) in Japan.Results The results showed that these factors (in the given order) have significant positive effects on job satisfaction: rewarding work, work–life balance, company philosophy, and fair wages. Flexible work has a negative effect on job satisfaction, contrary to expectations. Skill acquisition and relationships with superiors have a negative effect on turnover intentions, while advanced technology has a positive effect. Moreover, men emphasize objective factors such as wages and skills, whereas women emphasize psychological factors such as human relationships and an empathetic company philosophy.Conclusions By treating the 10 factors equally, this study showed that the factors contributing to job satisfaction and turnover intentions are different. Furthermore, two new factors—company philosophy and advanced technology—were evaluated in the context of job satisfaction and turnover intentions.
The diagnostic value of combining quantitative peripheral muscle ultrasound examination with bioelectrical impedance analysis in assessing intensive care unit-acquired weakness among tumor sepsis patients.
Authors: zhang zhen , Wang Donghao , Wu Yulin , Lyu Yang 
Published: September 2023

Abstract
Objective
This study aimed to investigate the diagnostic value of ultrasound-measured rectus femoris cross-sectional area (RF-CSA), tibialis anterior muscle thickness (TA-MT), and micro-indicators in bioelectrical impedance analysis (BIA) for diagnosing intensive care unit-acquired weakness (ICU-AW).
Methods
We conducted a single-center, observational study on patients hospitalized in the ICU of Tianjin Cancer Hospital with tumor-induced sepsis or septic shock. Ultrasonography was used to assess changes in peripheral skeletal muscle (RF-CSA, TA-MT) within 6 hours of sepsis onset and 72 hours after sepsis treatment. BIA was employed to measure micro-component changes in the human body. Statistical analysis was performed to predict the probability of ICU-AW occurrence.
Results
A total of 41 patients were included, with 17 diagnosed with ICU-AW. Regardless of the final ICU-AW diagnosis, all patients exhibited significant decreases in RF-CSA, TA-MT, skeletal muscle index (SMI), mid-upper arm circumference (MUAC), total body water (TBW), and protein levels. However, patients diagnosed with ICU-AW displayed more pronounced declines. RF-CSA, SMI, protein, and TBW demonstrated higher area under the receiver operating characteristic curves (ROC-AUCs) of 0.762, 0.730, 0.733, and 0.735, respectively, for diagnosing ICU-AW. Moreover, the initial Acute Physiology and Chronic Health Evaluation II (APACHE II) score and Sequential Organ Failure Assessment (SOFA) score exhibited good diagnostic value with ROC-AUCs of 0.768 and 0.716, respectively. In the combined diagnostic model, RF-CSA and SMI had the highest ROC-AUC of 0.849.
Conclusion
Peripheral muscle ultrasound and bioelectrical impedance analysis can serve as early identification methods for ICU-AW in patients with tumor-related sepsis. Individually, RF-CSA, SMI, protein, and TBW have good diagnostic accuracy for ICU-AW. Additionally, the more easily obtainable APACHE II score and SOFA score show comparable diagnostic value. The combined diagnostic model based on RF-CSA and SMI demonstrated the highest predictive accuracy for ICU-AW.
Evaluation of Brachystegia Eurycoma Leaves Extract as a Source of Green Inhibitor for Mild Steel in Acid Solution
Authors: Emembolu L. N. , Iwuchkwu F. U. , Ejiofor C. C. , Ajali J. J 
Published: September 2023

Abstract
The aim of this work is to investigate the corrosion inhibition of B. eurycoma leaves extract as a natural inhibitor for mild steel corrosion in 1 M H2SO4 solution. The corrosion inhibition activity was analyzed by electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization. The surface roughness and its properties through Scan electron microscopy (SEM). The obtained result from EIS divulge that the gradual increase in the B. eurycoma l eaves extract inhibitor concentration and time of immersion leads to progressive increase in inhibition efficiency. At the end of 8 hrs immersion time and inhibitor concentration of 1000mg/l the highest inhibition efficiency of (80%) and surface coverage of 70% were achieved. The potentiodynamic polarization results indicated that addition of B. eurycoma leaves extract hindered the reaction rates of anodic and cathodic reactions and performed as mix type inhibitor. The result also revealed that in the presence of B. eurycoma leaves extract the value of corrosion density of mild steel reduced considerably from 265.2µA/cm2 for sample without inhibitor to 67.8µA/cm2 for sample in 1000mg/l of the inhibitor. Again, it was observed that in the presence B. eurycoma leaves extract the mechanism of hydrogen (effervescence) evolution was unique whereas the anodic dissolution of iron mechanism experienced the impact of the inhibitor. SEM inspection revealed that the mild steel surface showed smoother and lower damage in the presence of inhibitor. Obvious correlations were found between corrosion inhibition efficiency and some quantum chemical parameters such as energy of highest occupied molecular orbital (EHOMO), energy of lowest unoccupied molecular orbital (ELUMO), energy gap (EL–H) and electronic density etc. The obtained results were further elucidated with frontier molecular orbital theory.
Preparation of innovative glass-ceramic materials based on mica schist within the CaO-MgO-Al 2 O 3 -SiO 2 system
Authors: Shendy Hussain , Khater G. A. , Shahien Mohamed G. , Zayed Ahmed Mohamed 
Published: September 2023

Abstract
The preparation of affordable glass-ceramic materials by induced crystallization of glass-based mica schists and other natural raw materials (dolomite & limestone), as well as magnesite as a mine waste, was investigated for the first time. Five glass batches were designed based on the eutectic composition of the diopside-anorthite ratio with increasing the enstatite content from 0–40 wt.% within the quaternary CaO–MgO–Al2O3–SiO2 system. After melting at 1400 to 1500 ˚C, casting into discs & rod shapes, and annealing process, the prepared glasses were subjected to careful heat treatment schedules. Several techniques were used to characterize the applied raw materials, glass, and glass-ceramic materials such as X-ray Fluorescence (XRF), Differential Thermal Analysis (DTA), X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Polarizing-light Microscopy. The produced glass-ceramic from the glass batch with 30 wt% enstatite that was nucleated at 750 ˚C /2h followed by crystallization at 950 ˚C /h, displayed the well-developed product on the level of volume crystallization and pore formation.
Birth weight predicts academic performance among Ghanaian school children
Authors: Zaid Haruna , Ali Zakari , Mahama Alhassan , Abubakari Abdulai 
Published: September 2023

Abstract
Birth weight (BW) is commonly used as a benchmark for child health and growth. Low birth weight (LBW) is defined by the WHO as a BW of 2500g (2.5kg) (LBW). LBW has been identified as a risk factor for poor child health and has been linked to a variety of negative child health outcomes, including cognitive impairment and poor school performance. The purpose of this study was to look at the relationship between birth weights (BW) and academic performance in a large Ghanaian metropolitan area.
A retrospective study was carried out. This study included 360 children ages 9 to 15 from four primary schools. To determine associations, academic records of children were combined with records of their birth weight. The relationship between birth weight and academic performance scores was determined using linear regression modeling.
The prevalence of LBW was 14% among school children. 65% scored low on a three-year academic performance score scale. After adjusting for the effects of other factors, there was strong evidence of an association between LBW and academic performance score (β= -6.90, 95% CI: -11.19 to -2.51, p=0.002). We find that for every 10 grams decrease in birth weight, the academic scores of children decreased by 69 points after controlling for potential confounders.
This study found an association between birth weight and academic performance in Ghanaian primary school children. Efforts to increase birth weight could benefit cognitive development and academic performance in childhood.
A Comparative Study of Federated Learning Methods for COVID-19 Detection
Authors: Darzi Erfan , Sijtsema Nanna M. , Ooijen P.M.A van 
Published: September 2023

Abstract
Deep learning has proven to be highly effective in diagnosing COVID-19; however, its efficacy is contingent upon the availability of extensive data for model training. The data sharing among hospitals, which is crucial for training robust models, is often restricted by privacy regulations. Federated learning (FL) emerges as a solution by enabling model training across multiple hospitals while preserving data privacy. However, the deployment of FL can be resource-intensive, necessitating efficient utilization of computational and network resources. In this study, we evaluate the performance and resource efficiency of five FL algorithms in the context of COVID-19 detection using Convolutional Neural Networks (CNNs) in a decentralized setting. The evaluation involves varying the number of participating entities, the number of federated rounds, and the selection algorithms. Our findings indicate that the Cyclic Weight Transfer algorithm exhibits superior performance, particularly when the number of participating hospitals is limited. These insights hold practical implications for the deployment of FL algorithms in COVID-19 detection and broader medical image analysis.
Diffraction separation and imaging based on curvelet domain cascade filter
Authors: Chen Zongnan , Zhao Jingtao , Peng Suping 
Published: September 2023

Abstract
Diffraction separation plays an important role in high-resolution imaging of small-scale discontinuous geological bodies. These discontinuities or nonuniformities are related to the oil and gas migration path and reservoir space, and they are also common geological hazard factors in engineering. In the common offset domain, diffractions are hyperbolic, while reflections are mostly linear. The difficulty of diffraction separation technology is to suppress the reflected energy while retaining the diffraction energy. Curvelet is a sparse transformation with angle classification. Reflections are distributed in a few coefficient matrices after curvelet transformation, whereas diffractions are the opposite. Based on the significant difference between reflections and diffractions in the curvelet domain, a method of diffraction separation using cascaded filters in the curvelet domain is proposed. Cascade filters in the curvelet domain include high-pass filters and median filters. The adaptive high-pass filter can suppress the low-frequency part of reflections, and the median filter is used to suppress the high-frequency part of reflections. Numerical experiments show that the proposed method has good performance in eliminating tilt and horizontal reflections, as well as the ability to retain the polarity reversal characteristics of diffractions and more energy. Field application further verifies the potential value of this method in solving the identification of complex stratigraphic structures and small-scale discontinuities.
Propagation characteristics of metro blast wave and prediction of casualty area
Authors: Li Haoran , Wei Qun , Xu Zhuang 
Published: September 2023

Abstract
A subway train explosion would result in serious casualties because of the narrow space and high crowd density of the subway train. No study has been conducted on the propagation of a blast wave in a narrow space as well as the secondary damage caused by crowd panic. In this study, the propagation characteristics of a blast wave in a subway train were analyzed using the finite element analysis method. The results showed that wave propagation processes can be divided into three phases: spherical expansion, reflection and interference, and propagation along the sidewall of the tunnel. The blast wave generated reflection and interference effects due to the obstruction of the train structure, and the accumulation degree of the blast wave pressure at different positions of the same longitudinal interface differed. In the longitudinal direction of the train, the closer a point was to the center of the explosion, the bigger the peak pressure was, the fewer the crests of the blast wave were, and the shorter the duration of action was. The evaluation model for the explosion casualty was based on the crowd panic effect; the model was validated using the disaster of subway Line 2 in Moscow. The general regression neural network was used to analyze the explosion casualties based on the data of 13 subway train explosions globally; 7 factors that affect explosion casualties were used as indexes. The deviation in the prediction results was less than 20% when the training samples were more than seven. The findings of this study serve as a vital reference for explosion casualty forecast in confined and narrow spaces, subway safety facility setting, and emergency rescue.
In Vitro Hemodynamic Performance of a Blood Pump for Self-powered Venous Assist in Univentricular Hearts
Authors: Rasooli Reza , Holmstrom Henrik , Giljarhus Knut Erik Teigen , Jolma Ingunn Westvik , Vinningland Jan Ludvig , de Lange Charlotte , Brun Henrik , Hiorth Aksel 
Published: September 2023

Abstract
Univentricular heart anomalies represent a group of severe congenital heart defects necessitating early surgical intervention in infancy. The Fontan procedure, the final stage of single-ventricle palliation, establishes a serial connection between systemic and pulmonary circulation by channeling venous return to the lungs. The absence of the subpulmonary ventricle in this peculiar circulation progressively eventuates in failure, primarily due to chronic elevation in inferior vena cava (IVC) pressure. This study experimentally validates the effectiveness of an intracorporeally-powered venous ejector pump (VEP) in reducing IVC pressure in Fontan patients. The VEP exploits a fraction of aortic flow to create a jet-venturi effect for the IVC, negating the external power requirement and driveline infections. A multi-scale in-vitro Fontan mock-up circulation loop is developed and the impact of VEP design parameters and physiological conditions is assessed using both idealized and patient-specific total cavopulmonary connection (TCPC) phantoms. The VEP performance in reducing IVC pressure exhibited an inverse relationship with the cardiac output and extra-cardiac conduit (ECC) size and a proportional relationship with the transpulmonary pressure gradient (TPG) and mean arterial pressure (MAP). The ideal VEP with fail-safe features provided an IVC pressure drop of 1.82 ± 0.49, 2.45 ± 0.54, and 3.12 ± 0.43 mm Hg for TPG values of 6, 8, and 10 mm Hg, respectively, averaged over all ECC sizes and cardiac outputs. Furthermore, the arterial oxygen saturation was consistently maintained above 85% in all conditions. These results emphasize the potential utility of the VEP to mitigate elevated venous pressure in Fontan patients.
Complex structures on the product of two Sasakian manifolds
Authors: Marchidanu Vlad Adrian 
Published: September 2023

Abstract
A Sasakian manifold is a Riemannian manifold whose metric cone admits a certain Kähler structure which behaves well under homotheties. We show that the product of two compact Sasakian manifolds admits a family of complex structures indexed by a complex nonreal parameter, none of whose members admits any compatible locally conformally Kähler metrics if both Sasakian manifolds are of dimension greater than 1. We compare this family with another family of complex structures which has been studied in the literature. We compute the Dolbeault cohomology groups of these products of compact Sasakian manifolds.
2020 Mathematics Subject Classification: 53C25, 53C55
Preoperative Intravascular Volume Status Measured by Inferior Vena Cava Collapsibility Index in Patients with Pheochromocytoma and Paraganglioma Undergoing Surgical Tumour Removal- A Prospective Observational Cohort Study
Authors: Ranganathan Poornima Diana , Ramachandran Rashmi , Trikha Anjan , Kumar Rajeev , Lakshmy R , Rewari Vimi 
Published: September 2023

Abstract
Study Objective-
Patients with pheochromocytoma (PCC) and paraganglioma (PGL) have contracted volume status due to intense catecholamine mediated vasoconstriction. These patients are prescribed plenty of oral and/or intravenous fluids to improve their volume status as part of pre-operative optimization strategy. This purportedly helps in improving the volume status of these patients and decreasing the incidence of post tumor removal hypotension. Pre-operative volume status of these patients after oral/IV fluid optimization therapy has, however, not been objectively explored. This study was, thus, devised to assess the pre-operative volume immediately prior to surgery in patients undergoing PCC/PGL removal.
Design-
Prospective, non-blinded, observational study
Setting-
Operating room (OR)
Patients -
Thirty-two patients with PCC/PGL scheduled to undergo tumor removal surgery were included in the study. Forty patients with well controlled essential hypertension posted for incidental elective surgery were included as a control group.
Interventions-
None
Measurements-
Inferior vena cava- collapsibility index (IVC-CI) was measured in both the groups immediately prior to the surgery either in the OR or pre-anesthesia room. Patients with a value of IVC-CI more than equal to 40% were deemed to be having intravascular volume depletion (IVVD). Perioperative hemodynamic perturbations were recorded in all the patients. Correlation was sought between the intraoperative fluid requirement and postoperative vasopressor requirement with preoperative volume status of the patients.
Main Results-
In patients with functional PCC/PGL, IVVD was present in 19 out of 32 patients (59.38%). There was no observed difference in the incidence of IVVD between the two groups. There was no significant association between IVVD and the initiation of vasopressor after tumor resection in patients with PCC/PGL.
Conclusion-
The incidence of IVVD in patients with PCC/PGL who have received pre-operative liberal oral fluid intake is similar to patients with non-PCC/PGL hypertension. The preoperative intravascular volume status of PCC/PGL patients is a poor predictor of their need for intra-operative intravenous fluids and post tumor removal vasopressor therapy.