bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Oxidative Stress Along with Dysbiosis Participate in the Pathogenesis of Asthma in the Obese?
Authors: Kleniewska Paulina , Pawliczak Rafał 
Published: November 2022

AbstractThe most important environmental factor that can play a key role in the development of asthma in the obese is overproduction of reactive oxygen species (ROS). The aim of the study was to examine changes in the concentration of oxidative stress parameters in the lungs, bronchoalveolar lavage (BAL) fluid and blood of mice in models of asthma or/and obesity caused by high-fat diet (HFD). The concentrations of 4-HNE and isoprostanes in the lungs of the animals were measured. BAL fluid levels of hydrogen peroxide were marked. Additionally, thiobarbituric acid reactive substances (TBARS) and ferric reducing ability of plasma (FRAP) were used as biomarkers of oxidative stress in the blood. Administration of lipoic acid (LA), a probiotic with standard-fat diet (SFD, 10% fat) and low-fat diet (LFD, 5% fat) significantly decreased the concentration of 4-HNE as compared to the OVA (ovalbumin) + HFD group (p < 0.05). Treatment with low-fat diet or LFD in combination with apocynin insignificantly decreased H2O2 values as compared to the OVA + HFD group. Supplementation of probiotic with SFD and LFD significantly decreased the concentration of TBARS as compared to the OVA + SFD and saline + HDF groups (p < 0.05). Significantly lower concentrations of TBARS were also observed in the LA plus LFD group (p < 0.05) as compared to the OVA + HFD group. Low-fat diet with probiotic significantly increased the concentration of FRAP as compared to the obese mice (p = 0.017). Treatment with LFD in combination with LA significantly increased FRAP values as compared to the obese and obese asthmatic mice (p < 0.001).
Assessment of extraneous water inflow in separate sewerage system by different quantitative methods
Authors: Bogusławski Bartosz , Sobczak Piotr , Głowacka Anna 
Published: November 2022

AbstractExtraneous water that inflow to the sewage system is basically divided into two streams—accidental water (mainly rainwater) and infiltration water. The aim of the research was to assess the amount of extraneous water inflow to the considered system. Five different quantitative approaches were applied. Three well-known methods were used: the triangle method, the minimum night flow method, and the moving minimum method. The annual balance of water consumption and sewage supply to the wastewater treatment plant were calculated. Also, some analysis of sewage discharge during wet and dry weather was carried out. The study covered data from 6 years from 2014 to 2019. It was established that the main source of extraneous water was infiltration, because three methods which concern both streams (triangle method, minimum night flow, variability in wet and dry weather) confirm the conclusion. Merely the moving minimum method results differ from the others. In this investigation, accidental water (basically rainwater inflow) poses a significantly less share in the total volume of sewage compared to infiltration water. The total amount of extraneous water was estimated as in the range from 38 to 53% of annual sewage supply to wastewater treatment plant, depending on the year. Share of infiltration and accidental water is changing in different methods. Share of infiltration was in a range between 18 and 68%, depending on the year and the method used. Share of accidental water was in a range between 7 and 22%.
Optimisation of chemical oxygen demand removal from animal house wastewater using central composite design
Authors: Imoro Abubakari Zarouk , Owiredu Raymond Asante , Osarenotor Osayomwanbo , Acheampong Nana Aboagye , Duwiejuah Abudu Ballu , Mensah Moses 
Published: November 2022

AbstractIn the developing world, most animal farmhouses dispose of their wastewater without treatment and that creates conditions for the spread of diseases. To discourage this practice, there is the need to provide relatively simpler wastewater treatment options. Thus, this research work sought to optimise the chemical oxygen demand (COD) removal efficiency of a simple anaerobic digester by determining the optimum concentrations of rhamnolipid biosurfactant and potassium phosphate buffer needed to make the anaerobic digester remove COD efficiently. The central composite design was used for the optimization study. In the one factor at a time experiment, increasing the concentration of the potassium phosphate buffer from 1.07 g/l K2HPO4 + 0.53 g/l KH2PO4to 1.37 g/l K2HPO4 + 0.83 g/l KH2PO4increased the COD removal efficiency of the anaerobic digester from 19.3 to 24.7%. Also, increasing the concentration of rhamnolipid from 80 to 320 mg/l increased the efficiency of the digester from 24.2 to 26%. The percentage COD removal was highly improved (> 85%) in the optimisation study when both rhamnolipid and buffer were combined at high levels (+ 1). The model built from the central composite design reflected a good fit of the data obtained withR2of 82.5% and apvalue of 0.000. This study therefore demonstrated that a simple anaerobic digester can be used to remove COD in wastewater by optimising the concentrations of rhamnolipid and potassium phosphate buffers in the treatment system.
Assessment and delineation of groundwater potential zones using integrated geospatial techniques and analytic hierarchy process
Authors: Ajayi Oluibukun Gbenga , Nwadialor Ifeanyi Jonathan , Odumosu Joseph Olayemi , Adetunji Oluwatobi Olalekan , Abdulwasiu Ishola Olabanji 
Published: November 2022

AbstractHydrogeologists and other allied professionals involved in the exploration and management of water resources have benefited greatly from the integration of geospatial techniques and remote sensing (RS) applications for identifying prospective or possible groundwater availability zones. This method is progressively becoming a viable alternative to the traditional geophysical survey for groundwater (GW) exploration, which is costly, time-consuming, and labour-intensive. This research explored the applicability of integrating RS, geospatial technologies and multi-criteria decision analysis (MCDA) for mapping and classifying GW potential zones in Bosso Local Government Area of Niger State in Northern-Nigeria. Five thematic maps were produced which represent the factors that influence and control the occurrence and transportation of GW. These factors are geology, lineament density, slope, land use and land cover, and drainage density. Normalized weights were assigned to these factors using analytic hierarchy process (AHP) based on their relative influence on occurrence and transportation of GW. Weighted overlay was implemented in a GIS environment to model the MCDA resulting to a GW potential map (GWPM). The produced GWPM was classified into four classes: ‘Very low’, ‘Low’, ‘Moderate’, and ‘High’ representing 3, 1, 85 and 11% of the total study area, respectively. The obtained result was validated using datasets obtained via hydrogeophysical techniques (vertical electrical sounding), and the result shows 68% positive correlation with the integrated remote sensing approach. The generated GWPM is recommended as an essential tool for water resource developers, and government agencies in charge of sourcing and distributing potable water resource in the study area.
Coupling of Epsilon-Near-Zero Mode to Mushroom-Type Metamaterial for Optimizing Infrared Suppression and Radiative Cooling
Authors: Li Jiacheng , Liu Shuang , Wu Shenglan , Liu Yong , Zhong Zhiyong 
Published: November 2022

AbstractWe report a complementary metal oxide semiconductor (CMOS) compatible metamaterial-based spectrally selective absorber/emitter (MBSSAE) for infrared (IR) stealth, which has the low absorption/emissivity in the IR atmospheric transmission window (3 µm–5 µm, 8 µm–14 µm) and ultra-high and broadband absorption/emissivity in the IR non-atmospheric window (5 µm–8 µm). We propose a novel method for the broadband absorption/emissivity in 5 µm–8 µm with incorporation of an epsilon-near-zero (ENZ) material between the top patterned aluminum (Al) disks layer and the silicon oxide (SiO2) spacer layer. With an appropriate design, the peaks in the IR atmospheric transmission window can be suppressed while the peak intensity in the non-atmospheric window remains high. The optimized MBSSAE has an average absorption/emissivity less than 10% in 8 µm–14 µm and less than 6% in 3 µm–5 µm. And the average absorption/emissivity in 5 µm–8 µm is approximately over 64%. This proposed scheme may introduce the opportunities for the large-area and low-cost infrared stealth coating, as well as for the radiative cooling, spectral selective thermal detector, optical sensor, and thermophotovoltaic applications.
Deep learning prediction of non-perfused volume without contrast agents during prostate ablation therapy
Authors: Wright Cameron , Mäkelä Pietari , Bigot Alexandre , Anttinen Mikael , Boström Peter J. , Blanco Sequeiros Roberto 
Published: November 2022

AbstractThe non-perfused volume (NPV) is an important indicator of treatment success immediately after prostate ablation. However, visualization of the NPV first requires an injection of MRI contrast agents into the bloodstream, which has many downsides. Purpose of this study was to develop a deep learning model capable of predicting the NPV immediately after prostate ablation therapy without the need for MRI contrast agents. A modified 2D deep learning UNet model was developed to predict the post-treatment NPV. MRI imaging data from 95 patients who had previously undergone prostate ablation therapy for treatment of localized prostate cancer were used to train, validate, and test the model. Model inputs were T1/T2-weighted and thermometry MRI images, which were always acquired without any MRI contrast agents and prior to the final NPV image on treatment-day. Model output was the predicted NPV. Model accuracy was assessed using the Dice-Similarity Coefficient (DSC) by comparing the predicted to ground truth NPV. A radiologist also performed a qualitative assessment of NPV. Mean (std) DSC score for predicted NPV was 85% ± 8.1% compared to ground truth. Model performance was significantly better for slices with larger prostate radii (> 24 mm) and for whole-gland rather than partial ablation slices. The predicted NPV was indistinguishable from ground truth for 31% of images. Feasibility of predicting NPV using a UNet model without MRI contrast agents was clearly established. If developed further, this could improve patient treatment outcomes and could obviate the need for contrast agents altogether.Trial Registration NumbersThree studies were used to populate the data: NCT02766543, NCT03814252 and NCT03350529.
Mesenchymal Stem Cell Secreted-Extracellular Vesicles are Involved in Chondrocyte Production and Reduce Adipogenesis during Stem Cell Differentiation
Authors: Tsai Yu-Chen , Cheng Tai-Shan , Liao Hsiu-Jung , Chuang Ming-Hsi , Chen Hui-Ting , Chen Chun-Hung , Zhang Kai-Ling , Chang Chih-Hung , Lin Po-Cheng , Huang Chi-Ying F. 
Published: November 2022

Abstract
Background:
Extracellular vesicles (EVs) are derived from internal cellular compartments, and have potential as a diagnostic and therapeutic tool in degenerative disease associated with aging. Mesenchymal stem cells (MSCs) have become a promising tool for functional EVs production. This study investigated the efficacy of EVs and its effect on differentiation capacity.

Methods:
The characteristics of MSCs were evaluated by flow cytometry and stem cell differentiation analysis, and a production mode of functional EVs was scaled from MSCs. The concentration and size of EVs were quantitated by Nanoparticle Tracking Analysis (NTA). Western blot analysis was used to assess the protein expression of exosome-specific markers. The effects of MSC-derived EVs were assessed by chondrogenic and adipogenic differentiation analyses and histological observation.

Results:
The range of the particle size of adipose-derived stem cells (ADSCs)- and Wharton’s jelly -MSCs-derived EVs were from 130 to 150 nm as measured by NTA, which showed positive expression of exosomal markers. The chondrogenic induction ability was weakened in the absence of EVs in vitro. Interestingly, after EV administration, type II collagen, a major component in the cartilage extracellular matrix, was upregulated compared to the EV-free condition. Moreover, EVs decreased the lipid accumulation rate during adipogenic induction.

Conclusion:
The results indicated that the production model could facilitate production of effective EVs and further demonstrated the role of MSC-derived EVs in cell differentiation. MSC-derived EVs could be successfully used in cell-free therapy to guide chondrogenic differentiation of ADSC for future clinical applications in cartilage regeneration.
Tageskliniken zentral und/oder disloziert. Ein Standardelement der kinder- und jugendpsychiatrischen Versorgung
Authors: Weindl Dina , Koller David , Kostial Martin , Zajec Karin , Noske Judith 
Published: November 2022

Zusammenfassung
Hintergrund
Tageskliniken als fachspezifische Versorgungseinheiten der kinder- und jugendpsychiatrischen Versorgung in Österreich stellen einen wichtigen Behandlungsbaustein für personenorientierte Behandlungsangebote dar. Neben zahlreichen Vorteilen, stellen sie jedoch auch höhere Anforderungen an die jungen Patient:innen und deren Angehörige.

Methodik
In der vorliegenden Arbeit wird die in Österreich etablierte tagesklinische Versorgungsstruktur, welche im Österreichischen Strukturplan Gesundheit festgehalten ist, dargestellt. Dabei wird ein besonderes Augenmerk auf die Strukturqualitätskriterien, welche sich am Konzept der Leistungsorientierten Krankenhausfinanzierung orientieren, gelegt.

Ergebnisse
Es zeigt sich eine hohe Anforderung und Notwendigkeit zur Bereitschaft zu transdisziplinären, multimodalen Behandlungskonzepten und -formen, sowie ein großer räumlicher Ressourcenbedarf. Die Etablierung von mehreren tagesklinischen Gruppen an einem Standort finden sich im Konzept der Leistungsorientierten Krankenhausfinanzierung nicht wieder und es muss zur Orientierung auf andere Quellen verwiesen werden. Ebenso verhält es sich mit dem benötigten Raumbedarf.

Schlussfolgerung
Zur Sicherstellung und Evaluation der Behandlungsqualität werden auf patient:innenbezogener als auch team- beziehungsweise organisationsbezogener Ebene Empfehlungen ausgesprochen. Die Arbeitsgruppe Tagesklinik der Österreichischen Gesellschaft für Kinder- und Jugendpsychiatrie, Psychosomatik und Psychotherapie empfiehlt neben der regionalisierten und wohnortnahen Versorgung und der Integration der Tagesklinik in die Gemeinde eine Behandlungsstruktur, welche durch Transdisziplinarität sowie Partizipation geprägt ist. Die Vernetzung mit anderen Versorgungsbereichen, sowie die Nutzung sozialpsychiatrischer Netzwerke ist unerlässlich. Regionale Besonderheiten sollten Berücksichtigung finden und spezialisierte, themenspezifische tagesklinische Gruppen sollten in weiteren Planungen und Konzepten vermehrt Eingang finden.
A sustainable game strategic supply chain model with multi-factor dependent demand and mark-up under revenue sharing contract
Authors: Bhuniya Shaktipada , Pareek Sarla , Sarkar Biswajit 
Published: November 2022

AbstractIn the current socio-economic situation, the daily demand for essential goods in the business sector is always changing owing to various unavoidable reasons. Choosing the right method for a profitable business has become quite tricky. The proposed study introduces different business strategies based on trade credit, revenue sharing contract, variable demand and production rate. As trade credit is one of the best policies to attract customers, there are two types of models based on it. In the first model, demand depends on average selling price, green degree, and products quality. An additional trade-credit factor is in the second model. However, considering coordination, non-coordination, and revenue sharing contracts, each model has three sub-cases. The main aim is to find the best strategy for the profit maximization of the supply chain members. Green investment, maintenance, and multi-factor dependent demand make the model more sustainable. The global optimization is established theoretically and different propositions are developed. Through numerical experiments, the global optimality is also verified. Some special cases, with a comparative graph, are provided for the validation of these results and to find the best strategy for profit maximization. Finally, some concluding remarks along with future extensions are discussed.
Self-regulatory Fractional Fuzzy Control for Dynamic Systems: An Analytical Approach
Authors: Mohan Vijay , Panjwani Bharti , Chhabra Himanshu , Rani Asha , Singh Vijander 
Published: November 2022

AbstractThis paper presents an analytical design of a fractional order fuzzy proportional integral plus derivative (FOFPI + D) controller. Artificial intelligence is incorporated into the controller with the help of a formula-based fuzzy logic system. The designed scheme combines fractional order fuzzy PI (FOFPI) and fractional order fuzzy D (FOFD) controller, derived from fundamental FOPID control law. The proposed scheme enjoys the linear structure of the FOPID controllers with non-linear gains that provide self-tuning control capability. The sufficient condition for stability of the closed-loop system is also established using the graphical approach. Performance of the proposed FOFPI + D, its integer order variant (FPI + D), and conventional controllers is examined for control of a highly non-linear and uncertain two-link robotic manipulator system. The optimum parameters of controllers are found by minimising aggregated control variation and error objective through non-dominated sorting genetic algorithm-II (NSGA-II). The comparison for trajectory tracking shows that FOFPI + D has the minimum integral absolute error (IAE) compared to other controllers. Further, rigorous performance investigations are performed to verify the robustness of designed controllers against parametric uncertainties, the varying boundary conditions of reference trajectory and disturbance rejection. It is concluded from the results that the proposed FOFPI + D controller exhibits superior performance.
Selection of Appropriate Global Partner for Companies Using q-Rung Orthopair Fuzzy Aczel–Alsina Average Aggregation Operators
Authors: Senapati Tapan , Martínez Luis , Chen Guiyun 
Published: November 2022

AbstractThe term “q-Rung orthopair fuzzy sets ($$q^{r}$$

q
r

OFSs)” refers to the collection of the most differentiated ideas for expressing fuzzy data in decision-making rules. The $$q^{r}$$

q
r

OFSs can gradually adapt the region of information by adjusting the parameter $$q \ge 1$$

q
≥
1

in response to the fluctuation degree, so assisting in the generation of more numerous possibilities. Aczel–Alsina triangular norm and conorm are superior operations that may create general and adaptable working principles for aggregating arguments. To make use of $$q^{r}$$

q
r

OFSs and Aczel–Alsina triangular norms in “multiple attribute decision-making (MADM)” issues, a few q-rung orthopair fuzzy ($$q^{r}$$

q
r

OF) Aczel–Alsina aggregation operators: $$q^{r}$$

q
r

OF Aczel–Alsina weighted average ($$q^{r}$$

q
r

OFAAWA) operator, $$q^{r}$$

q
r

OF Aczel–Alsina order weighted average ($$q^{r}$$

q
r

OFAAOWA) operator, $$q^{r}$$

q
r

OF Aczel–Alsina hybrid average ($$q^{r}$$

q
r

OFAAHA) operator for aggregating $$q^{r}$$

q
r

OFSs are exhibited in this article to fix the MADM issues based on $$q^{r}$$

q
r

OFSs. Some significant properties are additionally demonstrated. A technique for taking care of the MADM issues is proposed based on these created operators. The adequacy of the suggested technique is shown by means of a numerical example on enterprise partner selection, a lot of investigations and correlations with other existing strategies. The sensitivity of the proposed aggregation operators to decision-making findings is investigated. The demonstration outcomes suggest that the suggested technique has fulfilling universality and adaptability in aggregating $$q^{r}$$

q
r

OF data and acquiring the correlations of criteria and the attitudes of “decision-makers (DMs)” and is doable and compelling for taking care of the MADM issues dependent on $$q^{r}$$

q
r

OFSs.
Formation of beryllium oxide nanofibers by polyvinyl alcohol/beryllium sulfate/polyethyleneimine composite precursors
Authors: Hossain Md. Shakhawat , Nakane Koji 
Published: November 2022

AbstractPolyvinyl alcohol (PVA)/beryllium sulfate (BeSO4) precursor nanofibers are fabricated by electrospinning technique, mixing PVA aqueous solution with BeSO4 salt. The productivity is increased by adding polyethyleneimine (PEI) with PVA/BeSO4 spinning solution. The beryllium oxide (BeO) nanofibers are obtained by calcinating the PVA/BeSO4/PEI precursor nanofiber heated at 1000 °C or above. The crystallographic structure of BeO nanofibers is examined by X-ray diffraction. The thermal behaviors of the pure PVA nanofibers, BeSO4 salt, and PVA/BeSO4/PEI precursor nanofibers are studied by thermogravimetry analysis. The BeO nanofiber diameters are reduced with the increase in calcination temperatures. The specific surface area of the PVA/BeSO4/PEI precursor nanofibers is around 36.9 m2 g−1, and that of the BeO nanofibers calcined at 1200 °C is about 11.9 m2 g−1. The pore properties deteriorate due to sintering and blockage as the calcination temperature increases. This work introduces mesoporous BeO nanofibers for the very first time.
A uniformly convergent numerical scheme for solving singularly perturbed differential equations with large spatial delay
Authors: Ejere Ababi Hailu , Duressa Gemechis File , Woldaregay Mesfin Mekuria , Dinka Tekle Gemechu 
Published: November 2022

AbstractIn this study, a parameter-uniform numerical scheme is built and analyzed to treat a singularly perturbed parabolic differential equation involving large spatial delay. The solution of the considered problem has two strong boundary layers due to the effect of the perturbation parameter, and the large delay causes a strong interior layer. The behavior of the layers makes it difficult to solve such problem analytically. To treat the problem, we developed a numerical scheme using the weighted average ($$\theta$$
θ
-method) difference approximation on a uniform time mesh and the central difference method on a piece-wise uniform spatial mesh. We established the Stability and convergence analysis for the proposed scheme and obtained that the method is uniformly convergent of order two in the temporal direction and almost second order in the spatial direction. To validate the applicability of the proposed numerical scheme, two model examples are treated and confirmed with the theoretical findings.
Anisotropic swelling of rubber: extension of the Flory theory
Authors: Fernandes V. A. , De Focatiis D. S. A. 
Published: November 2022

AbstractThe anisotropy of the swelling of rubber is examined both theoretically and experimentally. The Flory theory is extended to account for anisotropic swelling, allowing the determination of the average molecular weight between cross-links for rubber with swelling anisotropy for the first time. In addition, specimens from five commercial rubbers manufactured using either compression-moulding or sheet-rolling processes are swollen in appropriate organic solvents. Their linear dimensions and mass are carefully recorded before swelling, in the swollen state, and after drying, to obtain three linear swelling ratios which can differ by up to 10% within each specimen. Compression-moulded rubbers are shown to be transversely isotropic after moulding, whereas rolled rubbers exhibit full anisotropy, with different swelling ratios in all three directions. None of the rubbers examined were found to be truly isotropic. The new anisotropic swelling theory is applied to the experimental data to determine the average molecular weight between cross-links, which is determined as up to 0.5% larger than the value obtained using the Flory isotropic swelling theory.