bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamics of nonlinear-shaped solid particles occurrence of hydro-magnetic slip with comparative analysis of radiated ternary, hybrid and nanofluid flow in a rotating internally heating cylinder
Authors: Kumar S. Saravana , Prasad R. Vikrama , Mamatha S. U. , Raju C. S. K. , Rao B. Madhusudhan
Published: November 2022

Nowadays, the heat thrust liquid electric heater is generally used in profitable applications since it protects upto 2–3 times the energy of ordinary liquid electric heater. The heat pump makes use of a refrigerant for its process. The small-temperature refrigerant engrosses permitted heat from full of atmosphere midair in the evaporator which is crushed by an extremely well-organized electrical compressor to an extraordinary-temperature and high-pressure vapor refrigerant. For entire heat transfer connoisseurs, heat transfer performance in cooling and heating applications has become a top priority. Hence, research towards new heat transfer fluids is extremely intense and challenging. This investigation examines flow and heat transfer analysis in axisymmetric magnetohydrodynamic flow polyethylene glycol (PEG)-based nanofluid, hybrid nanofluid and ternary hybrid nanofluid flow induced by a swirling cylinder. Flow and heat transfer are analyzed and compared for three cases PEG-based copper oxide, magnesium oxide and zirconium oxide ternary nanofluid (PEG[Formula: see text][Formula: see text][Formula: see text]ZrO2[Formula: see text][Formula: see text][Formula: see text]CuO[Formula: see text][Formula: see text][Formula: see text]MgO), PEG-based copper oxide (PEG[Formula: see text][Formula: see text][Formula: see text]CuO) nanoparticles and PEG-based zirconium and magnesium oxide hybrid nanofluid (PEG[Formula: see text][Formula: see text][Formula: see text]ZrO2[Formula: see text][Formula: see text][Formula: see text]MgO). Shooting technique (R–K fourth-order) is employed to work out the flow equations numerically. Simulated results are displayed through graphs. The computational results are validated with the published research work and a modest concurrence is found. The main outcome of this study is found to be as follows: It is interesting to note that [Formula: see text] is lesser in nanofluid case compared with ternary and hybrid nanofluid cases. It is found that [Formula: see text] is more in ternary hybrid nanofluid compared with hybrid and nanofluid cases. Overall, it is observed that heat transfer rate is higher in nanofluid compared with ternary and hybrid nanofluid cases whereas lesser rate of heat transfers in ternary nanofluid case.
Entropy generation through porous cavity containing nanofluid and gyrotactic microbes
Authors: Jamuna Bodduna , Mallesh M. P. , Balla Chandra Shekar , Shehzad Sabir Ali
Published: November 2022

This research explored the influences of entropy generation on bioconvected nanoliquid flow through the porous cavity filled with nanofluid and gyrotactic microbes. The porosity term in the momentum equation is summarized by the implementation of Darcy’s formula through Boussinesq estimation. The novelty of this study is to investigate entropy generation in cavity by augmenting the convection generated by the phenomenon of Brownian motion, thermophoresis of nanofluid flow and the bioconvection due to swimming of microorganisms. The governing partial differential equations (PDEs) are highly nonlinear and are nondimensionalized through the suitable similarity constraints. The transformed PDEs are tackled via implementation of finite difference method (FDM). The reaction of entropy generation and Bejan number against various quantities like bioconvection Rayleigh number ([Formula: see text]–100), Rayleigh number ([Formula: see text]–100), Peclet number ([Formula: see text]–0.9) and ratio of buoyancy ([Formula: see text]–1) are reported and visualized. The entropies by theliquid friction, heat transportation, mass transmission and microorganisms are focused. Upsurge in Nr (0.3–0.5) and Pe (0.1–0.15) accelerated the maximum of entropy due to microorganism by 7% and 44%, respectively. Here, an increment in Ra, Rb, Pe and Nr affects the distribution pattern of total entropies and Bejan number consistently. The higher Lewis number caused a decrement in the total entropy by liquid friction.
Thermophysical improvement of PCM with inclusion of nanoparticles during solidification
Authors: Zhang Ying-Fang , Bhutto Javed Khan , Barnawi Abdulwasa Bakr , Saad Hosam A. , Musa Awad
Published: November 2022

Demonstration of heat release phenomenon by employing the numerical approach is the main purpose of current research. Water as PCM was combined by particles and homogeneous mixture was assumed. Various shapes of powder with different concentrations were employed. The unsteady energy equation involving nanomaterial properties and freezing source term has been analyzed and for finding the solution, the Galerkin technique was employed. The adaptive grid generates greater number of elements in solid front region. Implicit formulations for unsteady terms were implemented and automatic time step was employed in software. Solid front changes with alteration of shapes of nanopowder and its fraction. With fraction augmentation, freezing finishes in lower time. The needed time diminishes by about 10.29% and 13.78%, respectively. Changing the shape of particles to the biggest level makes the period decline by less than 4.8% and 8.4%. A greater fraction of nanomaterial leads to a higher effect on the shape of nanomaterial.
Asymmetric Multifractal Analysis of the Chinese Energy Futures and Energy Stock Markets under the Impact of COVID-19
Authors: Shen Si-Min , Wang Hong-Yong
Published: November 2022

The volatility and cross-correlations of the energy market and the stock market during the COVID-19 pandemic have been paid close attention by scholars and investors. In this paper, we use the asymmetric multifractal analysis methods to study the fluctuation characteristics, market risks and cross-correlations of the Chinese energy futures market (EFM) and two energy stock markets before and after the COVID-19 outbreak, while the return series of Shanghai fuel oil futures, CSI Energy Index and CSI Mainland New Energy Theme Index are considered. The empirical evidences indicate that the auto- and cross-correlations of the three markets have the asymmetric multifractality, and that the multifractality of the cross-correlations is mainly caused by the fat-tailed distribution of the original series. After the COVID-19 outbreak, the risks of both the traditional energy stock market in the uptrend and the entire new energy stock market become larger, while those of the entire EFM become smaller. In addition, the COVID-19 pandemic has increased the multifractality of the cross-correlations between the energy futures and energy stock markets when the EFM is in downward trend.
Distribution-dependent stochastic porous media equations
Authors: Gao Jingyue , Hong Wei , Liu Wei
Published: November 2022

Using the generalized variational framework, the strong/weak existence and uniqueness of solutions are derived for a class of distribution-dependent stochastic porous media equations on general measure spaces, which also extends the classical well-posedness result of quasilinear SPDE to the distribution-dependent case.
The exponential behavior and stability of the stochastic three-dimensional primitive equations driven by Lévy noise
Authors: Su Dong , Liu Hui
Published: November 2022

This paper establishes the exponential behavior and stability of the stochastic three-dimensional primitive equations driven by Lévy noise via Burkholder–Davis–Gundy inequality and Itô formula. In particular, we prove that under some conditions on the forcing terms, the weak solution converges exponentially in the mean square and almost surely exponentially to the stationary solution.
Modelling spatial uncertainty of geochemical anomalies using fractal and sequential indicator simulation methods
Authors: Wang Haicheng , Zuo Renguang , Carranza Emmanuel John M. , Madani Nasser
Published: November 2022

Mapping of geochemical anomalies is crucial to exploration and environmental geochemistry. The complex geochemical landscape, multiple geological sources and various secondary surficial processes impose a certain degree of spatial uncertainty in mapping of geochemical anomalies. Quantifying this uncertainty is significant for improving the efficiency of environmental monitoring or mineral prospecting. In this paper, sequential indicator simulation (SISIM) was used to assess local and spatial uncertainties of geochemical anomalies, and the concentration–area (C–A) fractal model was employed to determine the geochemical threshold prior to SISIM analysis. To illustrate the uncertainty of Ag geochemical anomalies, Ag concentration data of 1880 soil samples collected from NE of the Dong Ujimqin Banner district of Inner Mongolia, North China, was used in this study. Based on a set of simulation realizations of Ag concentrations, it was concluded that areas with low local (i.e. single-location) uncertainty of Ag concentrations entail low risk for mineral exploration. However, the spatial uncertainty for multi-locations showed that the joint probability statistics were stricter than local uncertainty. Therefore, combining local probability and spatial joint probability for delineating geochemical anomalies of Ag is more acceptable and reliable. The hybrid approach using the C–A fractal model and SISIM provides a new way to delineate anomalous areas by considering the uncertainty of spatial distributions of geochemical elements.

Thematic collection:
This article is part of the Applications of Innovations in Geochemical Data Analysis collection available at:
https://www.lyellcollection.org/topic/collections/applications-of-innovations-in-geochemical-data-analysis
Experiences from 30 years of low-density geochemical mapping at the subcontinental to continental scale in Europe
Authors: Reimann Clemens
Published: November 2022

Experiences from 30 years of geochemical mapping at the (sub)continental scale in Europe using a wide range of different sample media are reviewed and discussed with a focus on the most recent GEMAS (GEochemical Mapping of Agricultural Soils) project. Comparing results from the different surveys it is possible to come to conclusions as to how geochemical surveys at the continental scale could best be designed. High analytical quality and lowest possible detection limits are key requirements. In Europe good outcomes were achieved with the <2 mm fraction of soil samples and aqua regia extraction. Focus should be on high quality of sampling and analyses and more determined parameters rather than on more samples. The sample density of 1 site/2500 km
2
provides a good overview of the processes governing geochemistry at the continental scale. Results should be extensively published by the project team to allow the dataset to be known and utilized by the wider scientific community.

Thematic collection:
This article is part of the Continental-scale geochemical mapping collection available at:
https://www.lyellcollection.org/topic/collections/continental-scale-geochemical-mapping
Efficient Simulation of Sparse Graphs of Point Processes
Authors: Mascart Cyrille , Hill David , Muzy Alexandre , Reynaud-Bouret Patricia
Published: November 2022

We derive new discrete event simulation algorithms for marked time point processes. The main idea is to couple a special structure, namely the associated local independence graph, as defined by Didelez, with the activity tracking algorithm of Muzy for achieving high-performance asynchronous simulations. With respect to classical algorithms, this allows us to drastically reduce the computational complexity, especially when the graph is sparse.
Reducing Intrinsic Drawbacks of Ni-rich Layered Oxide Cathode Materials with a Dry Coating Concept of Quasi-solid Nanomaterials towards High-performance Cylindrical Li-ion Batteries
Authors: Chiochan Poramane , Jangsan Chonticha , Anansuksawat Nichakarn , Homlamai Kan , Joraleechanchai Nattanon , Tejangkura Worapol , Sawangphruk Montree
Published: November 2022

Although Ni-rich layered oxide cathode materials of Li-ion batteries can provide high energy density, their performance degradation over long cycling and safety hazard due to their intrinsic property issues limit their practical long-term applications. Herein, we introduce a concept based on Ni-rich NMC811 core@quasi-solid shell structure. The Li-rich quasi-solid shell material was prepared by infusing 2 M LiTFSI in [EMIM][TFSI] into a whole pore of Al2O3 nanoparticles delivering a high ionic conductivity (2.8 × 10−4 S cm−1) at room temperature (25 °C). Then the shell material with a thickness of ca. 200 nm below a “Play Dough-like” state was coated on NMC811 using a green and scalable mechanofusion process. The 18650 cylindrical Li-ion battery cells using the core-shell cathode and the graphite anode at a pilot-plant manufacturing scale exhibit considerable high-rate capability compared to the pristine NMC811, especially at a high C-rate. The post-mortem analysis demonstrated that with the thick semi-solid shell there is no transition metal dissolution. Also, the battery cells retained a high discharge capacity after long-term cycling without any safety hazards. We believe that the semi-solid encapsulation in this work may be useful for next-generation high-energy Ni-rich Li-ion batteries.
Promising Supercapacitive and Photocatalytic Performances of TiO2 Nanotubes Loaded with Graphene: Insight on the Quantitative Chatacterisation by EIS
Authors: Ben Mammar R. , Hamadou L. , Boudinar S. , Kadri A.
Published: November 2022

In the present work, graphene (Gr) was successfully electrodeposited on TiO2 nanotubes (TiNT) by electrochemical deposition from dispersed graphene. Graphene was produced by electrochemical exfoliation of pure (P) graphite sheet and 5B pencil cores in sulfate-containing electrolytes. The electrochemical capacitance performance of Gr/TiNT electrodes was investigated by galvanostatic charge-discharge, electrochemical impedance spectroscopy and cyclic voltammetry techniques. The results demonstrate that Gr/TiNT electrodes are a promising candidate for supercapacitive applications, as they perform better than TiNT alone. Electrochemical impedance spectroscopy is among the most commonly applied approaches for characterizing electrodes for energy applications. The effects of oxygen functional groups are so evaluated in accordance with the parameters derived from the impedance spectra, with the aim of providing insight into the effects of oxygen functional groups in the energy storage process. Oxygen functional groups lowered the surface conductivity of the materials and hindered ions from reaching the pores, resulting in the decrease of the capacitive performance. Moreover, PGr/TiNT electrode have proven to be much more effective photocatalyst than TiNT alone. PGr/TiNT showed a two-fold increase in photocatalytic efficiency under visible light.
Tantalum Oxide Coating of Ni-rich Cathode Active Material via Atomic Layer Deposition and its Influence on Gas Evolution and Electrochemical Performance in the Early and Advanced Stages of Degradation
Authors: Dalkilic Mert , Schmidt Alexander , Schladt Thomas D. , Axmann Peter , DuMont Jaime , Travis Jonathan , Lindblad Dane , Kondracki Łukasz , Wohlfahrt-Mehrens Margret , Trabesinger Sigita , Lindén Mika
Published: November 2022

Detrimental side-reactions of Ni-rich cathode active materials (CAMs) with the electrolyte have historically impeded the extension of the utilized voltage window to higher upper cut-off voltages. Doping and coating approaches are studied widely to further improve these materials and to reduce the intensity of bulk and surface degradation but suffer from poor control of film thickness and homogeneity, leading to partial doping of the bulk. We herein report the singular effect of a tantalum oxide (Ta2O5) thin film on Li[Ni0.8Mn0.1Co0.1]O2 (NMC811), generated by atomic layer deposition, offering the possibility of a high-level homogeneity and thickness control. After chemical analysis using X-ray photoelectron spectroscopy the composition of the deposited thin film is identified as a lithium tantalate chemistry (LiTaO3). At an early degradation stage, clear improvements directly attributed to the coating, such as suppressed exothermic side-reactions (−51%), reduced released gas amounts (−14.8%) and less charge-transfer resistance growth (2× lower) are observed. However, at an advanced degradation stage, the materials show similar cycle life, as well as similar gassing behavior and an even higher charge-transfer resistance growth as compared to the uncoated material. This study highlights the necessity of bulk stabilization and identifies the effect of surface coatings on undoped NMC811 without any doping influence.
Probing the Influence of Crosslinking Layer Incubation Time on the Performance of Non-Faradaic Impedimetric Biosensors
Authors: Assaifan Abdulaziz K. , Aljdidalmri Abdulrahman S. , Albrithen Hamad , Alodhayb Abdullah , Alzahrani Khalid E. , Alshammari Abeer , Al-Gawati Mahmoud A. , Aldeligan Saleh Husam
Published: November 2022

Non-faradaic impedimetric biosensors have received a wide interest due to their direct detection approach. The crosslinking layer in these biosensors has to be dense to avoid permeation of ions into the electrode to allow direct detection of diseases. In this work, we investigate, for the first time, the effect of incubation time of cysteamine crosslinking layer on non-faradaic impedimetric biosensors performances. Two sets of interdigitated gold electrodes were functionalized with cysteamine for 1 h and 24 h. Then, UL83-antibodies were immobilized on the surface via glutaraldehyde for the detection of human cytomegalovirus. The sensitivity of biosensors functionalized with cysteamine for 24 h were superior to those functionalized with cysteamine for 1 h (i.e. 0.046 nF/ln(ng ml−1) compared to 0.0224 nF/ln(ng ml−1)). Probing the cysteamine layer with faradaic-EIS and X-ray photoelectron spectroscopy suggests that the better biosensing performance of biosensors incubated in cysteamine for 24 h is related to the better coverage of cysteamine at the biosensor surface. Atomic force microscopy analysis also revealed an increase in surface roughness with increasing cysteamine incubation time which resulted in better biosensing performances due to the enlarged surface area.
Using Numerical Models to Accelerate Electrolyte Transport Parameter Identification
Authors: Ayerbe E. , Gutiérrez J. L. , Varas F.
Published: November 2022

A new electrolyte transport parameter identification methodology, based on the numerical solution of a symmetric Li–Li cell model, is presented. In contrast to available techniques in the literature, where small concentration perturbations are generated in testing setups and linearization is assumed to identify transport properties for the initial salt concentration, large currents are used here to excite nonlinear dynamics able to reveal concentration dependent transport properties. This approach allows a significant reduction in the experimental effort. The proposed methodology is applied to two synthetic experiments. Firstly, an ideal case (where all difficulties associated to stripping and plating dynamics on Li metal surface are neglected) is considered in order to show both the details of the proposed methodology and its performance (specially its robustness, including the effect of the noise level in the voltage measurements in the experiment). A second case considers the effect of complex stripping and plating dynamics to show that, provided (macroscopic) modelling/identification of this dynamics is carried out, the proposed methodology is still able to accurately identify electrolyte transport properties using a simple experimental test setup.
Neuroprotective Mechanism of Icariin on Hypoxic Ischemic Brain Damage in Neonatal Mice
Authors: Wang Mengxia , Yang Xiaoxia , Zhou Qian , Guo Yingqi , Chen Yingxiu , Song Linyang , Yang Junhua , Li Lixia , Luo Li
Published: November 2022

Objective. Our previous results showed that icariin (ICA) could inhibit apoptosis and provide neuroprotection against hypoxic-ischemic brain damage (HIBD) in neonatal mice, but the specific mechanism of its neuroprotective effect remains unknown. This study aims at exploring whether ICA plays a neuroprotective role in apoptosis inhibition by regulating autophagy through the estrogen receptor α (ERα)/estrogen receptor β (ERβ) pathway in neonatal mice with HIBD. Methods. A neonatal mouse model of HIBD was constructed in vivo, and an oxygen and glucose deprivation (OGD) model in HT22 cells from the hippocampal neuronal system was constructed in vitro. The effects of ICA pretreatment on autophagy and the expression of ERα and ERβ were detected in vitro and in vivo, respectively. ICA pretreatment was also supplemented with the autophagy inhibitor 3-methyladenine (3-MA), ERα inhibitor methylpiperidino pyrazole (MPP), and ERβ inhibitor 4-(2-phenyl-5,7-bis (trifluoromethyl) pyrazolo [1,5-a] pyramidin-3-yl) phenol (PHTPP) to further detect whether ICA pretreatment can activate the ERα/ERβ pathway to promote autophagy and reduce HIBD-induced apoptosis to play a neuroprotective role against HIBD in neonatal mice. Results. ICA pretreatment significantly promoted autophagy in HIBD mice. Treatment with 3-MA significantly inhibited the increase in autophagy induced by ICA pretreatment, reversed the neuroprotective effect of ICA pretreatment, and promoted apoptosis. Moreover, ICA pretreatment significantly increased the expression levels of the ERα and ERβ proteins in HIBD newborn mice. Both MPP and PHTPP administration significantly inhibited the expression levels of the ERα and ERβ proteins activated by ICA pretreatment, reversed the neuroprotective effects of ICA pretreatment, inhibited the increase in autophagy induced by ICA pretreatment, and promoted apoptosis. Conclusion. ICA pretreatment may promote autophagy by activating the ERα and ERβ pathways, thus reducing the apoptosis induced by HIBD and exerting a neuroprotective effect on neonatal mice with HIBD.
A Simplified Sine Cosine Algorithm for the Solution of Optimal Reactive Power Dispatch
Authors: Gupta Sushil Kumar , Kar Manoj Kumar , Kumar Lalit , Kumar Sanjay
Published: November 2022

In this article, a simplified sine cosine algorithm (SSCA) is applied to solve the optimal reactive power dispatch (ORPD) issues by estimating the control variables. This algorithm uses sine cosine functions and generates number of random solutions to obtain the best solution by fluctuating inwards or outwards. The SSCA is implemented in the ORPD problem to find the best control variables to achieve minimum power loss and maximum net savings. Furthermore, the efficacy of SSCA is validated with other recently used algorithms considering three case studies, i.e., IEEE-30, -57, and -118 bus test system. The results show that the SSCA approach finds more precise and superior ORPD solutions. A comparison among SSCA and other methods proves the robustness of SSCA to attain the solution with faster convergence. The statistical analysis is performed to justify the effectiveness of SSCA by yielding minimum operating cost and maximum net savings as compared to other techniques considered in this study.
Enhanced Thermal Stability and Synergistic Effects of Magnesium and Iron Borate Composites against Pathogenic Bacteria
Authors: Ahmad Pervaiz , Khandaker Mayeen Uddin , Khan Abdulhameed , Rehman Fida , Din Salah Ud , Ali Hazrat , Khan Muhammad Imtiaz , Muhammad Nawshad , Ahmed Nasar , Ullah Zahoor , Khan Ghulamullah , Haq Sirajul , Emran Talha Bin , Sharma Rohit , Ashraf I. M.
Published: November 2022

A simple process based on the dual roles of both magnesium oxide (MgO) and iron oxide (FeO) with boron (B) as precursors and catalysts has been developed for the synthesis of borate composites of magnesium and iron (Mg2B2O5‐Fe3BO6) at 1200°C. The as‐synthesized composites can be a single material with the improved and collective properties of both iron borates (Fe3BO6) and magnesium borates (Mg2B2O5). At higher temperatures, the synthesized Mg2B2O5‐Fe3BO6 composite is found thermally more stable than the single borates of both magnesium and iron. Similarly, the synthesized composites are found to prevent the growth of both gram‐positive (Staphylococcus aureus) and gram‐negative (Escherichia coli) pathogenic bacteria on all the tested concentrations. Moreover, the inhibitory effect of the synthesized composite increases with an increase in concentration and is more pronounced against S. aureus as compared to E. coli.
Trivariate Stochastic Weather Model for Predicting Maize Yield
Authors: Chidzalo Patrick , Ngare Phillip O. , Mung’atu Joseph K.
Published: November 2022

Maize yield prediction in the sub-Saharan region is imperative for mitigation of risks emanating from crop loss due to changes in climate. Temperature, rainfall amount, and reference evapotranspiration are major climatic factors affecting maize yield. They are not only interdependent but also have significantly changed due to climate change, which causes nonlinearity and nonstationarity in weather data. Hence, there exists a need for a stochastic process for predicting maize yield with higher precision. To solve the problem, this paper constructs a joint stochastic process that acquires joints effects of the three weather processes from joint a probability density function (pdf) constructed using copulas that maintain interdependence. Stochastic analyses are applied on the pdf and process to account for nonlinearity and nonstationarity, and also establish a corresponding stochastic differential equation (SDE) for maize yield. The trivariate stochastic process predicts maize yield with

R

2

=
0.8389

and

M
A
P
E
=
4.31
%

under a deep learning framework. Its aggregated values predict maize yield with

R

2

up to 0.9765 and

M
A
P
E
=
1.94
%

under common machine learning algorithms. Comparatively, the

R

2

is 0.8829% and

M
A
P
E
=
4.18
%

, under the maize yield SDE. Thus, the joint stochastic process can be used to predict maize yield with higher precision.
Effects of Alternative Solvents in Experimental Enamel Infiltrants on Bond Strength and Selected Properties
Authors: Guimarães Tatiany Gabrielle Freire Araújo , Feitosa Victor Pinheiro , Rifane Tainah Oliveira , Sfalcin Ravana Angelini , Guimarães Bruno Martini , Correr Americo Bortolazzo
Published: November 2022

Objective. To evaluate different concentrations of solvents (tetrahydrofuran (THF) and dimethyl sulfoxide (DMSO) and monomers on the degree of conversion, microtensile bond strength, and mechanical properties of experimental resin infiltrants. Materials and Methods. Resin infiltrants were formulated and divided into eleven groups: (1) Icon, (2) 75% TEGDMA (T) +25% UDMA (U), (3) T +25% BIS‐EMA (B), (4) T + U +0.5%DMSO, (5) T + U +5% DMSO, (6) T + U +0.5% THF, (7) T + U +5% THF, (8) T + B +0.5% DMSO, (9) T + B +5% DMSO, (10) T + B +0.5% THF, and (11) T + B +5% THF. One hundred and ten bovine mandibular incisors were sectioned, treated, and destined to the degree of conversion, tensile cohesive strength, microtensile bond strength, flexural strength, and elastic modulus. Data were submitted to one‐way ANOVA and Tukey’s test (α = 0.05). Results. The degree of conversion was lowest for T + B +5%THF (41.9%) and highest for T + U +5%THF (62.1%). In flexural strength and E‐modulus, the T + B (96.5 MPa and 0.49 GPa) obtained the highest values and the lowest for T + U +5% DMSO (18.5 MPa and 9.7 GPa). Icon showed the highest bond strength (19.3 MPa) and cohesive strength (62.2 MPa), while T + U +5%DMSO (9.7 MPa) and T + B +5% DMSO (9.8 MPa) the lowest values and T + B +0.5% DMSO (12.3 MPa) the lowest cohesive strength. Conclusions. The addition of lower concentrations of DMSO or THF (0.5%) did not impair bond strength or significantly affect monomer conversion, but reduced the mechanical properties of resin infiltration.
A Secure Certificateless Signature Scheme for Space-Based Internet of Things
Authors: Liu Tongwei , Peng Wei , Zhu Kai , Zhao Baokang
Published: November 2022

Space-based Internet of things (S-IoT) can provide global services and connection capabilities. It has broad emerging application, including marine monitoring, forest monitoring, animal monitoring, disaster emergency response and other fields. However, owing to the openness of satellite communications, S-IoT is vulnerable to hijacking attacks, and malicious attackers can tamper with or forge transmitted messages. More seriously, due to limited S-IoT node resources, it is difficult to directly apply existing security solutions to terrestrial networks to the S-IoT. In this study, we propose CSP, a novel, secure, and efficient scheme based on certificateless signatures and bilinear pairings for S-IoT. CSP consists of six phases: system setup, partial private key settings, private key settings, public key settings, signing and verifying. In CSP, we especially design that part of the private key comes from the ground KGC and the other part is generated by the communication entity itself. We theoretically prove CSP is secure, and it is able to resist tampering or forgery attacks. Moreover, it can also ensure the authenticity, integrity, unforgeability, and nonrepudiation of transmitted messages. We also conducted extensive experiments and compared CSP with the existing schemes. The experimental results demonstrate that CSP can significantly reduce the total scheme time consumption. Especially, it can reduce about 50–60% of the time in the signature verification phase.
ABO rs657152 and Blood Groups Are as Predictor Factors of COVID-19 Mortality in the Iranian Population
Authors: Mirzaei Gheinari Fahimeh , Sakhaee Fatemeh , Gholami Melika , Sotoodehnejadnematalahi Fattah , Zamani Mohammad Saber , Ahmadi Iraj , Anvari Enayat , Fateh Abolfazl
Published: November 2022

Several studies have discovered a relationship between specific blood types, genetic variations of the ABO gene, and coronavirus disease 2019 (COVID-19). Therefore, the aim of this study was to evaluate the association between ABO rs657152 polymorphisms and ABO blood groups with COVID-19 mortality. The tetraprimer amplification refractory mutation system, polymerase chain reaction method, was used for ABO rs657152 polymorphism genotyping in 1,211 dead and 1,442 improved patients. In the current study, the frequency of ABO rs657152 AA than CC genotypes was significantly higher in dead patients than in improved patients. Our findings indicated that blood type A was associated with the highest risk of COVID-19 mortality compared to other blood groups, and patients with blood type O have a lower risk of infection, suggesting that blood type O may be a protective factor against COVID-19 mortality. Multivariate logistic regression test indicated that higher COVID-19 mortality rates were linked with alkaline phosphatase, alanine aminotransferase, high density lipoprotein, low-density lipoprotein, fasting blood glucose, uric acid, creatinine, erythrocyte sedimentation rate, C-reactive protein, 25-hydroxyvitamin D, real-time PCR Ct values, ABO blood groups, and ABO rs657152 AA genotype. In conclusion, the AA genotype of ABO rs657152 and blood type A were associated with a considerably increased frequency of COVID-19 mortality. Further research is necessary to validate the obtained results.
A Novel Optimal Robust Design Method for Frequency Regulation of Three-Area Hybrid Power System Utilizing Honey Badger Algorithm
Authors: Khadanga Rajendra Kumar , Nayak Smruti Ranjan , Panda Sidhartha , Das Deepa , Prusty B. Rajanarayan , Sahu Preeti Ranjan
Published: November 2022

This study proposes an innovative technique for the load frequency control (LFC) of a three-area hybrid power system by putting into consideration of honey badger algorithm-based fractional order proportional integral derivative (FOPID) controller. The algorithm’s veritable use is attempted by arranging a FOPID controller for the hybrid system’s frequency regulation; the incredible potential of the proposed algorithm is proven. The proposed HBA-based FOPID regulator is presented by comparing its results with other current methods. It is seen that the said regulator is more viable for the frequency control contrasted with the regular regulator by considering a change in system parameters and different paces of RES penetration. It is also seen that the recommended controller is found to be more effective for load frequency control than the conventional controllers.
Creep Behaviors of Interlayers around an Underground Strategic Petroleum Reserve (SPR) Cavern in Bedded Salt Rocks
Authors: Chen He , Peng Huihua , Duan Jian , Wang Jun , Li Shengnan , Yang Yuejing
Published: November 2022

It is well known that the Strategic Petroleum Reserve in salt caverns is an important means to solve the potential petroleum shortage. However, salt mines in China are mainly lacustrine-layered structures with many mudstone interlayers. Meanwhile, the acid value of extracted crude oil has been increasing in recent years. The acid erosion of salt cavern interlayers by crude oil would affect the safety of bedded salt cavern oil storage. Therefore, combined with acoustic emission technology, the multistage creep mechanical behaviors of natural mudstone interlayer samples and the mudstone interlayer samples treated by oil erosion are studied in this paper. The internal structures of interlayer samples before and after oil erosion were systematically analyzed by SEM. The results show that petroleum acid (naphthenic acid) plays a significant deterioration role in the mechanical properties of mudstone interlayers during the petroleum reserve process. Compared with the uncorroded samples, the mudstone interlayers after oil erosion show obvious brittle failure characteristics. At low stress levels, the axial strain grows stepwise and the lateral strain is smaller than the axial strain. At high stress levels, however, the lateral creep is obviously higher than the axial creep. A large number of AE signals were generated at the initial loading stage for different stress levels. After the creep stabilized, the AE signals were significantly reduced. During the process of petroleum erosion, the internal pores in rocks continued to develop with the dissolution of many mineral particles. This suggests that crude oil storage in the bedded salt rocks could accelerate the deterioration of the surrounding rocks via erosion. This paper could provide basic research data and a reference for the construction of oil storage in the bedded salt rocks.
Deep Learning-Based Predictive Control of Injection Velocity in Injection Molding Machines
Authors: Ren Zhigang , Li Yaodong , Wu Zongze , Xie Shengli
Published: November 2022

Rapid and reliable optimal control of injection molding machines (IMMs) is critical for the effective production of injection-molded goods, especially in the situation of restricted computer resources of embedded equipment in IMMs. In this paper, an optimal tracking injection velocity control problem arising in a typical IMM is studied. An effective hybrid intelligent control approach with less computing resources for real-time implementation based on the deep learning (DL) method to mimic the classical model predictive control rule is developed to deal with the tracking control of the injection speed. The proposed method utilizes the gated recurrent unit neural network to learn and predict the optimal time series control process data produced by the traditional model predictive controller. The benefits of this approach over the conventional optimization method are illustrated through simulation results, which show that the convergent DL-based controller can effectively avoid the complex calculation in the control process of IMMs and meet the requirements of more robustness and resist environmental uncertainty to a certain level and can be potentially implemented in embedded hardware much more efficiently and conveniently with a smaller memory footprint and faster computation time.
Status of ICT Integration in Secondary Schools: Dire Dawa City Administration in Focus
Authors: Molla Solomon , Seyoum Yilfashewa
Published: November 2022

The purpose of this study was to explore the status of information and communication technology integration in Dire Dawa City Administration secondary schools’ curriculum. The study was conducted using a survey design. A total of 563 respondents (374 students and 189 teachers), four school supervisors, and 12 school principals and vice principals were selected using systematic random and purposive sampling techniques from the eight secondary schools. Data were gathered by questionnaire, interview, and observation. The data were analyzed using mean, standard deviation, and an independent sample t-test. The findings revealed that the integration of information and communication technology was minimal and inconsistent across secondary schools. It was found that there was a significant mean difference in the integration of information and communication technology between private and government secondary schools. The study revealed that lack of training and technical knowledge, the high cost of technological devices and internet service, and a lack of internet connectivity were major challenges. A shortage of computers in private schools and a lack of enthusiasm in government secondary schools were particular problems mentioned by respondents. As a result, it is critical to establish a rigorous monitoring and control mechanism to improve the current practices through the provision of necessary facilities. It is recommended that schools, in partnership with the Dire Dawa City Administration Education Bureau, should arrange training on raising awareness and developing the necessary skills for effective integration of information and communication technology into the curriculum.
Abstract B018: Eosinophils alter metastatic spread in pancreatic cancer
Authors: Hoffman Megan T. , Lenehan Patrick J. , Wang Jennifer , Ali Lestat , Qiang Li , Uchida Amiko , Vayrynen Sara , Costa Andressa Dias , Dougan Michael , Heckler Max , Nowak Jonathan , Wolpin Brian W. , Dougan Stephanie K.
Published: November 2022

Pancreatic ductal adenocarcinoma (PDA) is the third most common cause of cancer death in the US with a 11% 5-year survival rate. A key contributor of this dismal prognosis is early and frequent metastatic spread with limited treatment options for patients. Metastasis in PDA is facilitated by a robust fibroinflammatory response in the primary tumor site, a large portion of which is composed of infiltrating immune cells, and survival during transit to establish in the secondary site. In the primary tumor reactive stroma, we found increased eosinophils in both human and mouse PDA compared to the normal pancreas. Eosinophils are an innate immune cell best known for their ability to control parasite responses and have been implicated in either pro- or anti-cancer roles in various solid tumors. We used the ΔdblGata mice, which lack eosinophils, to study the role of eosinophils during metastatic spread using a resectable model of PDA metastasis. This model of metastasis was developed to facilitate consistent seeding of lung metastasis in approximately 50 percent of mice from a transient subcutaneous tumor which undergoes subsequent surgical removal and harvest to evaluate metastasis at 4 weeks. We found that mice lacking eosinophils have increased metastasis to the lung in our resectable model of PDA metastasis but no difference in establishment of IV injected PDA tumor cells, suggesting eosinophil control at the primary tumor site. Single cell sequencing of the subcutaneous tumors finds differences in the angiogenic subtypes, tip and stalk cells, in mice lacking eosinophils. Sequencing of eosinophil populations in humans and mice find an increase in angiogenic signaling suggesting a regulatory role in tumor cell access to the circulation. We conclude that eosinophils in PDA inhibit the metastatic process through control of angiogenic signaling.

Citation Format: Megan T. Hoffman, Patrick J. Lenehan, Jennifer Wang, Lestat Ali, Li Qiang, Amiko Uchida, Sara Vayrynen, Andressa Dias Costa, Michael Dougan, Max Heckler, Jonathan Nowak, Brian W. Wolpin, Stephanie K. Dougan. Eosinophils alter metastatic spread in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B018.
Abstract B021: The axon guidance receptor UNC5B is a driver of pancreatic cancer metastasis
Authors: Harris Chris , Casabianca Anthony , Sechrist Zach , Shields Cory , Narrow Wade , Withers Tracy , Dudgeon Crissy , O'Dell Mike , Hezel Aram , Carpizo Darren
Published: November 2022

Axon guidance pathways have often been linked to tumorigenesis by informatics analyses, but their roles in tumorigenesis are not well understood at a functional level. Here we show that axon guidance receptor UNC5B and its ligand, NTN1, promote the metastasis of pancreatic ductal adenocarcinomas (PDACs) by reducing anoikis and by promoting a mesenchymal phenotype. In vivo, removal of two floxed UNC5B alleles eliminated PDAC metastasis in the genetically engineered KPC mouse model, and also reduced metastasis by xenografted PDAC cell lines. PDAC metastasis also decreased upon treatment of animals with NP137, an antibody that targets NTN1. In vitro, deletion of UNC5B from pancreatic adenocarcinoma cell lines reduced invasiveness, and was sufficient to convert PDAC cell lines from an epithelial to a mesenchymal state. UNC5B also increased YAP1 expression but decreased anoikis; anoikis could then be restored by treatment with the YAP1 inhibitor CA3. Clinically, UNC5B expression associated with poor outcomes in patients with pancreatic adenocarcinomas. UNC5B and NTN1 expression increased upon truncation of the SWI/SNF component ARID1A, which is recurrently mutated in PDACs. Highly focal amplifications of UNC5B were also observed in some patient samples, and were mutually exclusive with mutations in ARID1A or ARID1B. NP137 is currently in clinical trials for various cancers, and may benefit pancreatic adenocarcinoma patients, particularly those with UNC5B amplifications or with ARID1A/ARID1B mutations.

Citation Format: Chris Harris, Anthony Casabianca, Zach Sechrist, Cory Shields, Wade Narrow, Tracy Withers, Crissy Dudgeon, Mike O'Dell, Aram Hezel, Darren Carpizo. The axon guidance receptor UNC5B is a driver of pancreatic cancer metastasis [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B021.
Abstract B035: Targeting ribosome biogenesis addition is a novel strategy for pancreatic cancer therapy
Authors: Ahmad Mudassier , Perez Carlos , Massey Andrew , Kashyap Vivek , Chauhan Neeraj , Ahsan Haider , Jasmine Jasmine , Tripathi Manish , Chauhan Subhash , Hafeez Bilal
Published: November 2022

Pancreatic cancer (PanCa) is the third leading cause of cancer-related deaths in the United States with limited therapeutic options available. Gemcitabine (GEM), a deoxycytidine nucleoside analog is currently considered the most effective therapy for PanCa; however, it shows only a marginal survival benefit of 6 months. PanCa cells are addicted to ribosome biogenesis (RiBi) which supports their high rate of growth and proliferation. Therefore, strategically targeting the process of RiBi could be one of the ideal strategies for the prevention and treatment of PanCa. In this study, we for the first-time report that RPA194, a catalytic subunit of RNA Pol I is differentially expressed in normal pancreatic ductal epithelial (NPDE) and cancer cells. We also observed differential expression of RPA194 in various grades of pancreatic tumor tissues and its level was increased in high-grade pancreatic tumor tissues. We tested our hypothesis that targeting RPA194 with a non-toxic pharmacological inhibitor (BMH-21) will inhibit the growth of advanced PanCa. We observed that BMH-21 inhibits the growth and induced apoptosis of PanCa cells in a dose-dependent manner and this inhibition was correlated with the expression of RPA194. We observed proteasomal mediated degradation of RPA194 in PanCa cells. BMH-21 treatment inhibited RPA194 occupancy on rDNA but did not affect other nucleolar proteins (UBF, fibrillarin, nucleolin, and nucleophosmin). Two times the effective concentration of BMH-21 (5 µM) did not show any cytotoxic effect in NPDE cells. However, BMH-21 degraded RPA 194 protein in these cells in a similar manner as in PanCa cells. Therefore, we speculate that other proteins are involved in the selective toxicity of BMH-21 in PanCa cells. These findings were translated to in vivo model systems. We observed that BMH-21 significantly (P<0.01) inhibited the growth of pancreatic tumors in an orthotopic xenograft model. This pancreatic tumor growth inhibition was correlated with degradation of RPA194 protein in BMH-21 treated mice tumor tissues followed by inhibition of cell proliferation markers (ki67 and PCNA). Taken together, our results strongly suggest that targeting the RiBi process is a novel approach and BMH-21 is a non-toxic potential targeting agent for the prevention and treatment of advanced PaCa.

Citation Format: Mudassier Ahmad, Carlos Perez, Andrew Massey, Vivek Kashyap, Neeraj Chauhan, Haider Ahsan, Jasmine Jasmine, Manish Tripathi, Subhash Chauhan, Bilal Hafeez. Targeting ribosome biogenesis addition is a novel strategy for pancreatic cancer therapy [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B035.
Abstract B080: Disruption of ADAM17-dependent cellular crosstalk inhibits tumor progression of pancreatic ductal adenocarcinoma
Authors: Wen Hui-Ju , Moore Jacee , Davis Erick , Long Daniel , Lee Justin , Devorkin Brian , Crawford Howard
Published: November 2022

Activation of cellular signaling pathways by crosstalk between tumor cells and their microenvironment is an essential mechanism supporting pancreatic carcinogenesis. In this study, we aim to disrupt cellular signaling pathways by targeting ADAM17 (a disintegrin and metalloprotease 17). ADAM17 is a membrane bound enzyme which cleaves cell surface proteins. Its function is closely linked with autocrine and paracrine signaling of immunomodulation as well as activation of EGFR, which is a central molecule for pancreatic tumorigenesis. To investigate whether EGFR is activated via a paracrine manner from macrophages, the most abundant immune-related stromal cells in pancreas cancers, we generated a pancreatic tumor mouse model with ADAM17 deletion in myeloid cells by using a dual recombinase strategy. We observed that lack of ADAM17 in the myeloid cells resulted in a delay of acinar cell transformation and an associated decrease in EGFR activation. To further examine the tumor supportive role of ADAM17, systemic inhibition of ADAM17 using anti-ADAM17 antibody, MEDI3622, was tested in orthotopic tumor bearing mice. Systemic blockade of ADAM17 significantly reduced tumor burden and suppressed activation of EGFR and STAT3, which are associated with two pro-tumoral signaling pathways. In addition, we found an elevated level of CCL21 in the MEDI3622-treated tumors resulting in increased tumor infiltration by dendritic cells and cytotoxic T cells as well as low infiltration of G-MDSC (granulocytic myeloid-derived suppressor cells). These results demonstrate a pronounced anti-tumor effect by ADAM17 blockade and indicate ADAM17 as a therapeutic target of pancreatic cancer.

Citation Format: Hui-Ju Wen, Jacee Moore, Erick Davis, Daniel Long, Justin Lee, Brian Devorkin, Howard Crawford. Disruption of ADAM17-dependent cellular crosstalk inhibits tumor progression of pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B080.