bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the Impact of Battery Charging and Discharging Times on the Availability of Mechanical Ventilation Service
Authors: Monte Aline do , Pessoa Pablo , Silva Daliton , Lins Luan , Nascimento Dimas Cassimiro , Maciel Paulo 
Published: June 2023

Abstract
This paper evaluates the impact of battery charging and discharging times on the availability of mechanical respirators in the intensive care unit (ICU). The availability of these life-saving devices is crucial for ensuring optimal patient care in critical situations. This study aims to assess how the duration of battery charging and discharging cycles affects the availability of mechanical respirators and explore potential strategies to optimize their maintainability. We analyze the system’s behavior in eight scenarios that consider changes to optimize repair times, battery charge and discharge times, and power system redundancy. The results showed 98% improvements in availability and reduced system downtime. The outcomes of this research contribute to understanding the critical factors impacting the availability of mechanical respirators in the ICU. By addressing the issues related to battery charging and discharging times and maintaining these devices, healthcare facilities can enhance the availability and reliability of respiratory support systems. Ultimately, this study aims to improve patient outcomes and promote efficient resource utilization in the ICU setting.
Identification of a predictive multiplex biomarker of delayed cerebral ischemia and early metabolic deregulation after aneurysmal subarachnoid haemorrhage based on metabolomics and lipidomics
Authors: Chikh Karim , Tonon David , Triglia Thibaut , Lagier David , Buisson Anouk , Alessi Marie-Christine , Defoort Catherine , Benatia Sherazade , Velly Lionel J , Bruder Nicolas , Martin Jean-Charles 
Published: June 2023

Abstract
BACKGROUND.
Delayed cerebral ischaemia (DCI) following aneurysmal subarachnoid haemorrhage (aSAH) is a major cause of complications and death. Here we set out to identify high-performance predictive biomarkers of DCI and its underlying metabolic disruptions using metabolomics and lipidomics approaches.
METHODS.
This single-centre retrospective observational study enrolled 61 consecutive patients with severe aSAH requiring external ventricular drainage between 2013 and 2016, among them 22 experienced a DCI. Blood and cerebrospinal fluid (CSF) were sampled within the first 24 h after admission. We carried out LC-MS/MS-based plasma and CSF metabolomic and lipidomic profiling together with total fatty acids analysis.
RESULTS.
We identified a panel of 20 metabolites that together showed high predictive performance for DCI (area under the receiver operating characteristic curve: 0.968). This panel of metabolites included lactate, cotinine, salicylate, 6 phosphatidylcholines, and 4 sphingomyelins. Early biological disruptions that might explain the subsequent DCI found systemic hypoxia driven mainly by higher blood lactate, arginine and proline metabolism likely associated to vascular NO, dysregulation of the citric acid cycle in the brain, defective systemic energy metabolism and disrupted ceramide/sphingolipid metabolism. We also unexpectedly found a potential influence of gut microbiota on the onset of DCI.
CONCLUSION.
We identified a predictive metabolomic/lipidomic signature of further DCI in aSAH patients at admission to a NeuroCritical Care Unit. This signature is associated with significant systemic and cerebral biological dysregulations and reveal a potential link between DCI and gut microbiota. We conclude that targeting early peripheral hypoxia could help in preventing DCI.
Clinical trial registration
Clinicaltrials.gov identifier: NCT02397759
Application to fixed point theory of α-θ-E-Geraghty Pata proximal contractions
Authors: Alam Khairul Habib , Rohen Yumnam , Albargi Amer Hassan , Hussain Aftab 
Published: June 2023

Abstract
Here, we discuss the idea of α-θ-E-Geraghty Pata proximal contraction and weak ϕ-α-θ-E-Geraghty Pata proximal contraction by merging contraction criteria put forth by Pata and Geraghty utilizing the α-θ-proximal admissibility. In both standard as well as partially ordered metric spaces, for such proximal contractions, we present proximity point results for both single as well as multivalued mappings. We also investigate the existence of coupled fixed point for α-θ-E-Geraghty Pata type contractions in regular metric space. Numerous findings in the literature are generalized, expanded upon, and unified by these findings. We provide an application of fractional differential and few examples to demonstrate how outstanding our findings are.
MSC Classification: 46T99 , 54E50 , 47H10 , 54H10
Suicide Risk among Patients with Substance Use Disorders, A Cross Sectional Study In Suez Canal Area Hospitals
Authors: Dardiri Mohamed El , El-Tantawy Ashraf , Elmoez Khalid Abd , Sayed Haydy H. , Elbadry Hytham , Ibrahim Omneya 
Published: June 2023

Abstract

Background: Substance Use Disorders are serious health issues that have been linked to numerous clinical correlations and mental health comorbidities. One of the most important health dangers linked to substance addiction was suicide. The current study aims to investigate the phenomena using a bio-psycho-social framework. The aim was to investigate the risk of suicide in a sample of substance use disorders patients. A case control comparison was performed between 190 substance abusers versus 30 controls. Addiction Severity Index, Beck Suicidal Ideation Scale, Arab Religiosity Scale, Socioeconomic Status Scale, as well as multiple historical variables, have been investigated.
Results: Suicidality was prevalent among alcohol and opioids abusers, poly substance abusers, those with a family history of suicide, and those with a history of a previous attempt. Having a positive family history of suicide could predict an 8.3 point rise in Beck Suicidal Ideation Scale score, while having any previous attempt of suicide could predict 9.04 point rise in Beck Suicidal Ideation Scale score. Suicidality scores correlated with Addiction Severity Index scores, and indirectly with socioeconomic status and Religiosity. Combinations of drugs with other mental illness showed a significant predictive effect on suicidality score.
Conclusion: Suicidality is expected among substance abusers, and is affected by multiple bio-psycho-social variables.
To Investigate the Structural, Electronic, and Optical Characteristics of 2D Hetero-atoms Al, N, B-doped-Graphene Composites For Photocatalytic Applications: A DFT Study
Authors: Jameel Muhammad Hasnain , Roslan Muhammad Sufi bin , Agam Mohd Arif Bin 
Published: June 2023

Abstract
Two-dimensional (2D) layer structure graphene-doped composites have been confirmed to be an efficient and appropriate material to build effective photo-catalysts with enhanced catalytic efficiency for wastewater and industrial wastage. Graphene exhibits a proficient 2D layer structure, very large conductivity, better-quality electron mobility, and remarkably high surface area with large active sites for the best photocatalytic activity. In the current research structural, electronic, and optical characteristics of 2D Graphene doped-composites are calculated using a first-principles calculation. To use a generalized gradient approximation (GGA) and an ultra-soft pseudopotential (USP), the impact of Aluminium (Al), Nitrogen (N), and Boron (B) on structural, optical, and electronic characteristics of Graphene doped-composites are investigated. By substituting Al, N, and B in Graphene, extra gamma sites are produced into the energy bandgap (Eg). Owing to the difference in ionic radii of Al, N, and B the band gap is found to remarkably increase from 0 to 1.75 eV. The nature of the band gap is found direct. A noteworthy increment is found in Eg as a result of optical conductivity increase of 2.5 to 4.0. Due to the inclusion of Al, N, and B, the energy absorption peaks are increased and shifted to larger energy in the UV-visible spectrum. 2D layer structure doped-Graphene composites have high optical conductivity, refractive index, and energy absorption is an appropriate material for photocatalytic application.
Quantitative Determination the Role of the Intra-bandgap States in the Kinetics of Water Photooxidation over Hematite Electrodes
Authors: Zhang Shufeng , Leng Wenhua 
Published: June 2023

Abstract
The intra-bandgap states on the hematite (α-Fe2O3) electrodes are believed to play an important role in water photooxidation. Yet, it is not fully understood how the intra-bandgap states are involved in the reaction. In this work, the role of the intra-bandgap states in water photooxidation on the α-Fe2O3 electrodes is investigated by a combination of multiple (photo-) electrochemical techniques and operando spectroscopic methods. Two kinds of surface states are observed on the electrodes during water photooxidation, and their role are quantitatively determined by the correlation with the steady state photocurrent. It is demonstrated that the intrinsic electronic surface states close to the conduction band can act only as the recombination center for the photocarriers while water photooxidation on the electrodes is dictated by the photogenerated surface states at higher energy level with a first reaction order for the surface holes. More importantly, the photogenerated surface states are revealed to be the reactant in the rate limiting step of water photooxidation. These findings in this study may be beneficial to elucidate the actual function of the surface states, and provide mechanistic insights into the oxygen evolution on the α-Fe2O3 photoanodes.
Improvement of clinical symptoms and cardiac abnormalities detected by cardiac magnetic resonance imaging in patients with long COVID syndrome after guideline-oriented therapy
Authors: Pavone-Gyöngyösi Mariann , Hasimbegovic Ena , Lukovic Dominika , han Emilie , Zlabinger Katrin , Spannbauer Andreas , Riesenhuber Martin , Bergler-Klein Jutta , Hengstenberg Christian , Kammerlander Andreas , Kastl Stefan , Loewe Christian , Beitzke Dietrich 
Published: June 2023

Abstract

Patients with cardiovascular long COVID syndrome and cardiac magnetic resonance (CMR) scans were included prospectively into the Vienna PostCoV Registry between March 2021 and March 2023 (EC: 1008/2021, clinicaltrials.gov NCT05398952; n=240). Clinical symptoms, age and sex, time between COVID-positivity and vaccination and CMR, as well as CMR findings were recorded. After medical treatment, clinical assessment and CMR was repeated in 67 patients with pathological CMR findings showing myopericarditis, pericardial effusion or cardiac functional abnormalities. Blood pressure and condition-adapted heart failure treatment led to a significant increase in left ventricular ejection fraction. Low-moderate doses of NSAIDs for 3 months significantly reduced pericardial effusion. Clinical symptoms improved markedly with a decrease in CMR abnormalities. In conclusion, medical treatment of cardiac/cardiovascular long COVID syndrome related to CMR abnormalities led to significant improvement in ejection fraction and decreased pericardial effusion, and were associated with improvements in the cardiovascular long COVID complaints.
Wiener Energies of Fuzzy Graphs with Application in Total Quality Management
Authors: Ahmad Uzma , Hussain Imdad , Saeid A. Borumand 
Published: June 2023

Abstract
In this paper, fuzzy Wiener matrix, Wiener Laplacian matrix and corresponding energies of fuzzy graph are defined. A bound on largest eigenvalue of fuzzy Wiener matrix is presented. Several results related to eigenvalues of fuzzy Wiener and fuzzy Wiener Laplacian matrices are proved. Several upper and lower bounds for energies of these matrices are also established in terms of parameters like, number of vertices, edges, minimum and maximum vertex and edge membership, etc. Finally, the idea of fuzzy Wiener energy is applied in multi criteria decision making of best organizations based on implementation of total quality management(TQM) attributes.
Subjectivity Ratio: Mining Polarity Intentions for Text Data
Authors: Jadhav Varsha , Dolas Dhananjay 
Published: June 2023

Abstract
Twitter is an online social network where people share and read the messages called as tweets. Twitter dropped the 140-character limit for private messages within its network. The new limit is 280 characters or Unicode glyphs. People share thoughts in their minds on twitter. Thoughts can be new stories, ideas, and their views about any popular events such as election poll, sports, movies, breaking news etc. Tweets can be used to predict the results of the events by finding the polarity intentions. Intention can be positive, negative or neutral. The paper aims to provide a subjectivity ratio method to obtain the polarity intention. It presents the algorithm for the subjectivity ratio method and its analysis, which shows that the subjectivity ratio method works faster for large data.
Harris hawks optimisation algorithm for the multi-objective portfolio optimisation with transaction costs
Authors: Saïb Nassir-Ud-Diin Ebrahim , Cheeneebash Jayrani , Gopaul Ashvin 
Published: June 2023

Abstract
The portfolio optimisation problem (POP) is a financial engineering problem where an investor is faced with the issue of allocating wealth amongst a set of assets so as to obtain a fair balance between the expected return and risk of a portfolio. In this paper we consider the multi-objective POP subject to the cardinality, quantity and pre-assignment constraints and study the cases when transaction costs are omitted and considered in the model. In order to solve this problem, the Harris Hawks Optimisation (HHO) algorithm is employed. Given the combinatorial nature of the constrained POP, a uniform crossover operator is incorporated in the exploration phase of the HHO that deals with the combination of assets for each candidate portfolio. We first test the applicability of the algorithm to the unconstrained problem and show that it is capable of obtaining highly accurate results. Then the suitability of the modified HHO is tested with seven publicly available datasets and compared against well-known heuristics. Five performance metrics were used to evaluate the performance of the algorithms and the results obtained proved the efficacy and superiority of the HHO over the other methods even in the presence of transaction costs.
Decision-making based on sustainability analysis using GREENSCOPE
Authors: Dias Ricardo N. , Filipe Rui M. , Matos Henrique A. 
Published: June 2023

Abstract
Current economic and environmental pressure encourages companies to invest and reform processes in a sustainable way. However, the decision on the best sustainable investment in a given industry may not be as straightforward as given by the independent economic and environmental indicators. Analyzing such indicators for investment in process alternatives is a complex multiobjective decision making (MODM) process. Many MODM methods can help solve this problem, GREENSCOPE suggests using the Addictive Utility Method (AUM), which may have some shortcomings. In this work, the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are applied to the indicator scores obtained with the GREENSCOPE methodology. AHP is applied with Marginal Rare of Substitution (MRS), to obtain the priority matrices. MATLAB was used to apply the MODM methods and also to determine, through an algorithm, the appropriate number of indicators to be used. Three cases were studied, namely a biorefinery plant, and two academic case studies on the production of acetaldehyde from ethanol and propylene glycol from glycerol. The two academic cases were modelled in Aspen Plus, to obtain process data, and linked to GREENSCOPE using MATLAB. The methodology was applied in some proposed alternatives where the sustainability improvement of energy integration and material recycling was tested. The new methodology was able to identify the more sustainable case among the alternatives. This methodology based on TOPSIS proved to be the best choice, avoiding the weighting of indicators, and providing an expected analytical decision among alternatives.
Evaluation of Health Sciences Faculty Students' Knowledge Levels on Microbiota and Health
Authors: YILMAZ Ozgenur 
Published: June 2023

Abstract
The importance of microbiota on health is an important topic that has been partially clarified and is still being illuminated. Individuals with health-related expertise are expected to be more familiar with the concepts of the microbiome and microbiota. However, some students who have not graduated and are studying in health-related fields do not understand concepts such as microbiota, microbiome, probiotics, and prebiotics, or they understand them incorrectly or insufficiently. The purpose of this study was to evaluate the knowledge levels of 4th grade students studying in the Nutrition and Dietetics, Midwifery, and Nursing departments about microbiota and health. A cross-sectional descriptive study was carried out on 133 students. The Microbiota Awareness Scale and Information Form were conducted online via a questionnaire survey created in Google Forms. It was determined that microbiota awareness, general information, product knowledge, chronic disease, and probiotic and prebiotic knowledge sub-dimension scores of the students whose departments were nutrition and dietetics were higher than the nursing and midwifery students. Furthermore, 78.9% of the students did not attend a "Microbiota and Health" conference, congress, seminar, or training. As a result, it is suggested that education programs focusing on the relationship between microbiota and health be organized, or that they be added to the curriculum, and that students be educated about microbiota and health.
A 52-week fresh food prescribing program reduces food insecurity and improves fruit and vegetable consumption in Ontario, Canada
Authors: Little Matthew , Dodd Warren , Grewal Ashmita , Stringer Eleah , Richter Abby 
Published: June 2023

Abstract
Background:
Food insecurity is linked with suboptimal diet and comprises an important risk factor for nutrition-related chronic diseases. Fruit and vegetable prescription programs are designed to improve access to healthy foods, but there is limited evidence on the impacts of such programs in the Canadian context. The objective of this study was to assess changes in food security, food consumption, and health among adult participants of a fresh food prescribing program in Guelph, Ontario, Canada.
Methods:
A total of 57 food insecure individuals with ≥ 1 cardio-metabolic condition or micronutrient deficiency received fresh food prescriptions from their healthcare practitioner and received weekly vouchers for an online produce market. We used a single-arm repeated-measures evaluation and paired t-tests to assess changes in food security, food intake, self-reported health, and blood biomarkers of cardio-metabolic, and nutritional health. Linear regression models were used to assess factors associated with change in fruit and vegetable consumption and voucher usage.
Results:
Food insecurity improved following the proportion of participants classified as severely food insecure fell from 47.4–24.5%. Consumption of fruit, dark green vegetables, orange vegetables, and other vegetables increased during the intervention (p < 0.05). Mean fasting insulin and ascorbic acid levels improved (p < 0.05). Worse food insecurity and lower fruit and vegetable consumption at baseline, as well as more frequent interaction with healthcare providers, were associated with a greater increase in fruit and vegetable consumption from pre- to post-intervention (p < 0.05).
Conclusions:
Fruit and vegetable prescription programs may improve food security and increase fruit and vegetable consumption, but further research is needed to determine their long-term health impacts.
heavy metals pollution characteristics and systemic risk assessment of the environment around the tailings site
Authors: He Yujie , Zhang Qian , Wang Wenjie , Hua Jie 
Published: June 2023

Abstract
The soil, sediment, and water surrounding abandoned tailings can be regarded as both sinks and sources of pollution. Taking the surrounding environment of abandoned tailings viewed as a whole, and conducting a comprehensive environmental pollution assessment is the basis of tailings pollution control and accurate management. we aimed to synthesize single-element pollution indicators and multi-element pollution indicators and propose a comprehensive pollution status evaluation method for abandoned tailings and their surrounding environment. Provide effective tools for tailings classification management on a regional scale. First, the single-element contamination index and multi-element contamination index were selected to evaluate the contamination risk of agricultural soil, surface water, groundwater, and sediment. The comprehensive pollution risk score(CRS) of each element in the environment was calculated. Then the overall score of pollution status (P) of the tailings site and its surrounding environment was obtained based on the weighting coefficients of the risks for different environmental receptors. Finally, the potential sources and migration paths of pollutants were determined by combining PMF and GIS mapping. The mean contents of heavy metals in the soils and sediments were higher than the average values in China and background values except for Cr. The mean concentration of Cd, Cu, Pb, Zn, and As in surface water and the mean concentration of Cd, Cu, and Zn in grounder water exceeded the value specified in their corresponding standards. The comprehensive pollution risk score of each element in the environment surrounding the tailings from the largest to the smallest are: CRS Cd (27) > CRS Cu (22) > CRS As (18) > CRS Zn (16) > CRS Pb (14) > CRS Cr (9). It was shown that Cd and Cu were the elements with the highest risk of environmental pollution Within the entire environmental system. The overall score of pollution status of the environment around the tailings in this study was calculated to be 5.37 points, which belongs to the Ⅲ level. The superposition of natural sources and mining activities is the most important factor in soil and sediment contamination. The pollution situation in the area is serious and the environmental quality is worrying, which threatens the safety of agricultural products and human health, and the comprehensive evaluation method can effectively assess the current situation of environmental pollution around the tailings.