bluuebunny/crossref_metadata_2025 huggingface dataset:
4-Pentenoyl-isoleucyl-chitosan oligosaccharide and acrylamide functional monomer-dependent hybrid bilayer molecularly imprinted membrane for sensitive electrochemical sensing of bisphenol A
Authors: Gao Qing , Zang Yang , Xie Ju , Wu Yongchuan , Xue Huaiguo
Published: November 2021

A hybrid bilayer molecularly imprinted membrane-dependent electrochemical sensor was developed for bisphenol A assay based on 4-pentenoyl-isoleucyl-chitosan oligosaccharide and acrylamide functional monomers.
Ferrocenium complex aided O-glycosylation of glycosyl halides
Authors: Talasila Deva Saroja , Bauer Eike B.
Published: November 2021

Ferrocenium complexes as a new, tunable platform for O-glycosylation reactions are introduced.
Deep-red fluorogenic cyanine dyes carrying an amino group-terminated side chain for improved RNA detection and nucleolar RNA imaging
Authors: Sato Yusuke , Igarashi Yugo , Suzuki Michiyuki , Higuchi Kei , Nishizawa Seiichi
Published: November 2021

The introduction of an amino-group-terminated side chain into deep-red emissive benzo[c,d]indole–quinoline monomethine cyanine dye has led to the improved detection of RNAs as well as the imaging of nucleolar RNAs in cells.
Magnetic sulfonated polysaccharides as efficient catalysts for synthesis of isoxazole-5-one derivatives possessing a substituted pyrrole ring, as anti-cancer agents
Authors: Ghasemi Zarrin , Amale Afsaneh Hamidian , Azizi Sajjad , Valizadeh Sepideh , Soleymani Jafar
Published: November 2021

Four magnetic polysaccharides containing acidic groups were used as catalysts for the synthesis of 4-(2-pyrrolyl) methylene-isoxazole-5-ones. The products showed anti-cancer activities.
Prediction of flavor and retention index for compounds in beer depending on molecular structure using a machine learning method
Authors: Wang Yu-Tang , Yang Zhao-Xia , Piao Zan-Hao , Xu Xiao-Juan , Yu Jun-Hong , Zhang Ying-Hua
Published: November 2021

In order to make a preliminary prediction of flavor and retention index (RI) for compounds in beer, this work applied the machine learning method to modeling depending on molecular structure.
Biofunctional hollow γ-MnO2 microspheres by a one-pot collagen-templated biomineralization route and their applications in lithium batteries
Authors: He Huixia , Fu Caihong , An Yongling , Feng Jinkui , Xiao Jianxi
Published: November 2021

Recombinant collagen with unique rod-like structure has been demonstrated as a robust template to create novel dandelion-like hollow microspheres of γ-MnO2 mesocrystals, which display superior biocompatibility and electrochemical performance.
Chemically activated core–shell structured IF-WS2@C nanoparticles enhance sugarcane-based carbon/epoxy nanocomposites
Authors: Cao Dehua , Liu Guangsheng , Chen Wenting , Lv Xuefeng , Song Taize , Zhang Linyi , Liu Song , Li Yi , Wang Nannan , Zhu Yanqiu
Published: November 2021

Schematic diagram and typical curing mechanism of epoxy resins and the unique interactions of the IF-WS2@C nanoparticles introduced into the matrix.
On-site, rapid and visual method for nanomolar Hg2+ detection based on the thymine–Hg2+–thymine triggered “double” aggregation of Au nanoparticles enhancing the Tyndall effect
Authors: Chen Xuejiang , Sun Yao , Mo Xiaomei , Gao Qian , Deng Yanan , Hu Miao , Zou Jianmei , Nie Jinfang , Zhang Yun
Published: November 2021

A new equipment-free colorimetric nanosensor was initially developed for quantitative point-of-need detection of nanomolar Hg2+ ions based on the enhancement in Tyndall effect of Au nanoparticles via their target-triggered “double” aggregation.
Evaluation of enzymatic and magnetic properties of γ-glutamyl-[1-13C]glycine and its deuteration toward longer retention of the hyperpolarized state
Authors: Kondo Yohei , Saito Yutaro , Elhelaly Abdelazim Elsayed , Hyodo Fuminori , Nishihara Tatsuya , Itoda Marino , Nonaka Hiroshi , Matsuo Masayuki , Sando Shinsuke
Published: November 2021

By examining enzymatic and magnetic properties, γ-Glu-[1-13C]Gly-d2 was developed as a long-lived DNP molecular probe for detecting γ-glutamyl transpeptidase.
Synthesis and the growth mechanism of ultrafine silver nanowires by using 5-chloro-2-thienylmagnesium bromide as the additive
Authors: Fan Zhengyang , Chen Jie , Mao Huaming , Yin Jungang , Dai Wei , He Linlin , Yang Hongwei
Published: November 2021

The presence of 5-chloro-2-thienylmagnesium bromide is beneficial for the in situ formation of smaller AgBr and AgCl particles step by step and the final growth of ultrafine Ag NWs with an average diameter of ∼15 nm and an aspect ratio of over 1000.
Comparative metabolomics reveals the cytotoxic and anti-inflammatory discriminatory chemical markers of raw and roasted colocynth fruit (Citrullus colocynthis L.)
Authors: Darwish Reham S. , Abdulmunem Omar A. , Khairy Asmaa , Ghareeb Doaa A. , Yassin Abdelrahman M. , Abdulmalek Shaymaa A. , Shawky Eman
Published: November 2021

Colocynth has a long history of use in traditional medicine for treatment of various inflammatory diseases where it is commonly roasted before being applied for medical purposes to reduce its toxicity.
Bicyclo[6.1.0]nonyne carboxylic acid for the production of stable molecular probes
Authors: Rady Tony , Mosser Michel , Nothisen Marc , Erb Stephane , Dovgan Igor , Cianférani Sarah , Wagner Alain , Chaubet Guilhem
Published: November 2021

We report a novel strained alkyne, coined BCN acid. This compound participates efficiently in diverse bioorthogonal reactions and allows the facile production of amide probes, which showed superior in vitro stability compared to carbamate analogues.
Viologens: a versatile organic molecule for energy storage applications
Authors: Kathiresan Murugavel , Ambrose Bebin , Angulakshmi Natarajan , Mathew Deepa Elizabeth , Sujatha Dhavamani , Stephan Arul Manuel
Published: November 2021

This review analyses the role of viologens, a unique class of redox-active molecules in various energy storage devices and the nature of chemical interactions in enhancing their overall performances.
Monodisperse RuO2 nanoparticles for highly transparent and rapidly responsive supercapacitor electrodes
Authors: Ryu Ilhwan , Kim Dongju , Choe Guenpyo , Jin Sohyun , Hong Dajung , Yim Sanggyu
Published: November 2021

Highly transparent energy storage devices have attracted attention owing to their applications in innovative electronics and displays.
Polyoxometalate-based yolk@shell dual Z-scheme superstructure tandem heterojunction nanoreactors: encapsulation and confinement effects
Authors: Wu Chunxu , Xing Zipeng , Fang Bin , Cui Yongqian , Li Zhenzi , Zhou Wei
Published: November 2021

Polyoxometalate-based yolk@shell dual Z-scheme superstructure tandem heterojunction nanoreactors exhibit excellent photocatalytic performance, which is ascribed to the dual Z-scheme heterojunction and encapsulation and confinement effects.
Improved efficiency of liquid-phase shear exfoliation of expanded graphite with mica plates as bifunctional additives
Authors: Liang Bin , Liu Kangwei , Liu Peng , Zhao Guangyao , Pan Weisheng , Hu Shengyu , Cui Yuanzheng
Published: November 2021

Liquid-phase shear exfoliation (LPSE) is a potential method of large-scale production of good-quality graphene.
Au single atom-anchored WO3/TiO2nanotubes for the photocatalytic degradation of volatile organic compounds
Authors: Wang Xiaoguang , Pan Honghui , Sun Minghui , Zhang Yanrong
Published: November 2021

Anchoring Au atoms on WO3/TiO2nanotubes by a simple two-step electrochemical approach significantly improved the photocatalytic degradation of toluene, due to the enhanced transfer and separation of photogenerated carriers and adsorption.
Synthesis of metalloporphyrin-based porous organic polymers and their functionalization for conversion of CO2into cyclic carbonates: recent advances, opportunities and challenges
Authors: Luo Rongchang , Chen Min , Zhou Farong , Zhan Jiamin , Deng Qi , Yu Yue , Zhang Yifei , Xu Wei , Fang Yanxiong
Published: November 2021

This review summarized the recent advances made in the task-specific design and synthesis of metalloporphyrin-based porous organic polymers (POPs) and their functionalization for conversion of CO2into cyclic carbonates.
Optical and magnetic characterization of one-dimensional Cu(ii)-based perovskite: a high UV–Vis–NIR absorber
Authors: Jabeur Wiem , Msalmi Rawia , Korb Marcus , Holub Mariia , Mosconi Edoardo , Čižmár Erik , Tozri Anowar , Althubiti Numa A. , Naïli Houcine
Published: November 2021

A 1-D Cu(ii)-based perovskite (C5H8N3)[CuCl3], with gap energy “Eg” of 2.21 eV, has been successfully investigated as a good UV–Vis–NIR absorber. The magnetic analysis suggests that this material can be described by the model of S = 1/2 AFM dimers.
Introduction to the themed issue in honour of Prof. Kees Hummelen
Authors: Valkenier Hennie , Vanderzande Dirk , Meijerink Andries , Prato Maurizio
Published: November 2021

Guest editors Hennie Valkenier, Dirk Vanderzande, Andries Meijerink and Maurizio Prato introduce this Journal of Materials Chemistry C issue in honour of Professor Kees Hummelen on the occasion of his retirement.
Integration of grey analysis with artificial neural network for classification of slope failure
Authors: Deris Ashanira Mat , Solemon Badariah , Omar Rohayu Che
Published: November 2021

With the advent of technology and the introduction of computational intelligent methods, the prediction of slope failure using the machine learning (ML) approach is rapidly growing for the past few decades. This study employs an “artificial neural network” (ANN) to predict the slope failures based on historical circular slope cases. Using the feed-forward back-propagation algorithm with a multilayer perceptron network, ANN is a powerful ML method capable of predicting the complex model of slope cases. However, the prediction result of ANN can be improved by integrating the statistical analysis method, namely grey relational analysis (GRA), to the ANN model. GRA is capable of identifying the influencing factors of the input data based on the correlation level of the reference sequence and comparability sequence of the dataset. This statistical machine learning model can analyze the slope data and eliminate the unnecessary data samples to improve the prediction performance. Grey relational analysis-artificial neural network (GRANN) prediction model was developed based on six slope factors: unit weight, friction angle, cohesion, pore pressure ratio, slope height, and slope angle, with the factor of safety (FOS) as the output factor. The prediction results were analyzed based on accuracy percentage and receiver operating characteristic (ROC) values. It shows that the GRANN model has outperformed the ANN model by giving 99% accuracy and 0.999 ROC value, compared with 91% and 0.929.
Lithological modelling based on shear wave velocity using horizontal to vertical spectral ratio (HVSR) inversion of ellipticity curve method to mitigate landslide hazards at the main road Of Samigaluh District, Kulon Progo Regency, Yogyakarta
Authors: Widyadarsana Skolastika Novita , Hartantyo Eddy
Published: November 2021

Many landslides occur in Samigaluh District, Kulon Progo Regency, Yogyakarta, Indonesia. However, no research discusses landslides that often occur on the main road connecting the city of Yogyakarta and various tourist resorts in Samigaluh. This study aims at determining the soil vulnerability and lithology model at that main road as a contribution to landslide mitigation planning. This lithology model is based on shear wave velocity (Vs) and layer thickness derived by microtremor datasets. The data were processed by the inversion of the Horizontal to Vertical Spectral Ratio (HVSR) technique of the ellipticity curve method. The result of the study shows that the first layer is associated with topsoil which has Vs of 263 m/s, the second layer is clay which has Vs of 607 m/s, the third layer consists of clay, breccia, and pumice which has Vs of 1119 m/s, and the fourth layer is andesite bedrock which has Vs of 1721 m/s. Andesite is impermeable to water and can become a slip field for landslides. Clay, breccias, and pumice can absorb water so that their weight increases when it rains. When they are on an impermeable rock on a certain slope, a landslide occurs.
The Effect of Land Characteristics on Agricultural Productivity Using Multiple Linear Regression Method in Madiun Regency, East Java
Authors: Istifaroh Elya Pratiwi , Harini Rika
Published: November 2021

Agriculture is an important sector to support national food availability. Soil and climatic conditions in Indonesia are very suitable for agriculture. However, the land characteristics in each region are different, Especially in Madiun Regency, where this study is conducted. This study aims to determine what commodities are suitable for the characteristics of the land based on land suitability and how land characteristics influence agricultural productivity. The data used in this research is secondary data. Determination of agricultural commodities is carried out by cross-checking between land characteristics and guidelines for agricultural commodity land requirements. There are six types of agricultural commodities that are suitable for land characteristics in Madiun Regency. The effect of land characteristics consisting of several parameters on agricultural productivity was sought using multiple linear regression methods. The processing results are known that 8 variables of land characteristics significantly affect agricultural productivity by 93%. The independent variables were tested using the Simultaneous F-Test and were known to have a simultaneous (together) effect on agricultural productivity. In addition, a Partial T-Test was conducted, and it was found that there were only two variables that had a partial effect, namely the soil CEC characteristics and the sand characteristics.
Relationship of the Significance of Freshwater Use to Health Protocols During the Covid-19 Pandemic in Bantul Village, Yogyakarta
Authors: Ulumia Fahima , Irfan Fahmi Moh Syahrul , Astabella Relinda Dewi , Adji Tjahyo Nugroho , Putri Ratih Fitria , Yang Heein
Published: November 2021

The Covid-19 pandemic has an impact on the use of freshwater. Freshwater has an essential role in preventing the spread of Covid-19 related to the implementation of health protocols also Clean and Healthy Living Behavior. The important factors that influence water use are socioeconomic conditions, including income level, type of work, and education level. The spread of Covid-19 significantly occurs in urban areas. Bantul village is the center of government, economy and one of the planned areas of urban settlements in Bantul Regency. Bantul village is also a hinterland of the Yogyakarta agglomeration area. This study was conducted to determine the influence of socio-economic conditions on the significance of changes in water use during the Covid-19 pandemic to implement health protocols in Bantul village. The data was obtained through interviews with 99 respondents based on random sampling techniques. This research was conducted with quantitative methods and descriptive analysis techniques. The result shows an increase in freshwater use during the pandemic, particularly washing hands and taking a shower. The highest increase in freshwater use is in Kurahan Hamlet. While in Grujugan Hamlet, there has been no increase. The increase in freshwater use indicates the suitable implementation of health protocols.
Evaluation of groundwater usage in relationship to groundwater vulnerability to sea water intrusion in Cilacap Coastal
Authors: Nugrahaeni Salsabiila Bayu , Setyawan Purnama Ignasius Loyola , Primacintya Vincentia Anindha
Published: November 2021

Besides being able to cause land subsidence, excessive groundwater use in coastal areas can also cause to sea water intrusion. The purpose of this study is to evaluate the use of groundwater in the study area in relation to its vulnerability to sea water intrusion. Because groundwater in the study area is used for domestic, industry and livestock purposes, the water use that is taken into account is the use of water for the three sectors. The amount of water used for domestic purposes is calculated based on the population and the amount of water needed of each person per day. The amount of water use for industry is calculated based on the number of industrial employees and water usage of each employee per day. Water use for livestock is calculated based on the number of livestock and water use of each livestock per day. The results of this water usage calculation are then linked to the criteria for groundwater vulnerability to sea water intrusion and the depth of the interface. Observing the relationship between groundwater usage and the vulnerability of groundwater to sea water intrusion and the depth of its interface, Tegal Kamulyan, Cilacap and Sidakaya villages, all of which are located in South Cilacap District, need attention. The three village are classified as moderate vulnerability to sea water intrusion and shallow interface depth, but their water usage is quite high. For this reason, it is necessary to make efforts to find other water sources for domestic, industry and livestock requirement other than groundwater.
Optainet-based technique for SVR feature selection and parameters optimization for software cost prediction
Authors: Najm Assia , Zakrani Abdelali , Marzak Abdelaziz
Published: November 2021

The software cost prediction is a crucial element for a project’s success because it helps the project managers to efficiently estimate the needed effort for any project. There exist in literature many machine learning methods like decision trees, artificial neural networks (ANN), and support vector regressors (SVR), etc. However, many studies confirm that accurate estimations greatly depend on hyperparameters optimization, and on the proper input feature selection that impacts highly the accuracy of software cost prediction models (SCPM). In this paper, we propose an enhanced model using SVR and the Optainet algorithm. The Optainet is used at the same time for 1-selecting the best set of features and 2-for tuning the parameters of the SVR model. The experimental evaluation was conducted using a 30% holdout over seven datasets. The performance of the suggested model is then compared to the tuned SVR model using Optainet without feature selection. The results were also compared to the Boruta and random forest features selection methods. The experiments show that for overall datasets, the Optainet-based method improves significantly the accuracy of the SVR model and it outperforms the random forest and Boruta feature selection methods.
Des dispositifs pluralistes sous contrôle : internaliser les critiques pour gouverner le stockage des déchets radioactifs
Authors: Blanck Julie
Published: November 2021

Le stockage géologique de déchets radioactifs constitue un cas de politisation du sous-sol, autour d’un objet hybride alliant activités minières et nucléaires. Cet article explore les transformations du gouvernement de ce stockage, avec la mise en place de trois dispositifs pluralistes de pilotage et d’internalisation de critiques, afin de désamorcer les mouvements contestataires au moment de sa réalisation. Il étudie successivement la démarche de concertation pour la sélection de la zone d’implantation ; le groupe de pilotage du plan national pour la gestion des matières et déchets radioactifs et le débat public organisé en 2013 sur les modalités du stockage. À travers ces trois dispositifs, les promoteurs du projet tentent d’en maîtriser la politisation : ils intègrent ou écartent certaines critiques pour légitimer un projet contesté, tout en verrouillant son opportunité.
COVID-19: The Patients' Perceived Impact on Dental Care
Authors: Amato Alessandra , Iandolo Alfredo , Scelza Giuseppe , Spirito Francesca , Martina Stefano
Published: November 2021

Objectives The present study aims to investigate the effect of the COVID-19 pandemic on people's mental and physical balance, oral hygiene habits, type of diet, perceived safety of returning to the dentist, and aesthetics with the use of masks.

Materials and Methods An online questionnaire was submitted to the Italian population between December 2020 and January 2021. It was sent via online platforms and included 21 questions.

Statistical Analysis Differences in rates were calculated by using the Chi-square test. The level of significance was set at p <0.05.

Results A total of 1,008 individuals completed the questionnaire. About 72% of participants were not concerned about returning to the dentist. Approximately 45% of the individuals intensified their oral hygiene and preventive rules. About 38% of participants increased their carbohydrate intake, while 28% increased their fat consumption. Furthermore, 75% of the participants felt that the mask did not diminish the beauty of their smile.

Conclusions Most participants felt comfortable returning to the dentist but only for more urgent treatment. However, most people reported that they had not stepped up their home oral hygiene measures. The biggest changes in the population's eating habits involved increased carbohydrate and fat consumption. Finally, most participants responded that mask use did not compromise their aesthetics.
Endoscopy in Pregnancy: A Systematic Review
Authors: Pal Partha , Reddy D. Nageshwar , Tandan Manu
Published: November 2021

Background Fetomaternal outcomes are of primary concern for gastrointestinal (GI) endoscopy in pregnancy. We aimed to systematically review the safety and utility of endoscopic procedures in pregnancy.

Methods A systematic literature search was performed using PubMed. All original research articles with sample size > 10 involving endoscopy in pregnancy were included for the review along with case report/series describing novel/rare techniques from 1948 to July 2021.

Results After screening 12,197 references, 216 citations were found and finally 66 references were included. Esophagogastroduodenoscopy had favorable fetal outcome (>95%) based on two large retrospective studies and a review of case reports. Sclerotherapy and band ligation of varices were safe according to case series. A large nationwide cohort study established safety of endotherapy for nonvariceal bleed. Botulinum toxin and pneumatic dilation in achalasia are only supported by case reports. Percutaneous endoscopic gastrostomy can be useful to support nutrition based on case reports. A retrospective case–control and cohort study with systemic review justified flexible sigmoidoscopy if strongly indicated. Low birth weight was more common when sigmoidoscopy was done in inflammatory bowel disease based on a prospective study. Colonoscopy was considered safe in second trimester based on a case–control study whereas it can be performed otherwise only in presence of strong indication like malignancy. Capsule endoscopy is promising and can be useful in acute small bowel bleeding although risk of capsule retention is unknown. There are no reports of enteroscopy in pregnancy. Twelve retrospective studies and one prospective study showed high success rate of therapeutic endoscopic retrograde cholangiopancreatography (ERCP) (> 90%) in all trimesters and can be performed if strongly indicated. Pregnancy was an independent risk factor for post-ERCP pancreatitis in a large nationwide case–control study. Radiation-free ERCP with wire-guided bile observation, stent-guided or precut sphincterotomy, endoscopic ultrasound (EUS) guidance, and spyscopy have been described. Safety of EUS is limited to case series and can be used in intermediate probability of choledocholithiasis to guide ERCP and endoscopic cystogastrostomy.

Conclusion This review concludes that GI endoscopy during pregnancy can be done effectively if strongly indicated with good fetomaternal outcomes. Precautions are advocated during procedures where radiation exposure is expected.
241Am/Be source optimum geometry for DSRS management-based Monte Carlo simulations
Authors: Guembou Shouop Cebastien Joel , Ndontchueng Moyo Maurice , Nguelem Mekongtso Eric Jilbert , Beyala Ateba Jean Felix , Strivay David
Published: November 2021

The geometry form related to 241Am/Be spontaneous neutron sources has been investigated to evaluate the most optimizing geometry for disused sealed radioactive source (DSRS) disposal. Nine source geometries were assessed: point, disk, sphere 1, sphere 2, sphere 3, cylinder 1, cylinder 2, rectangle 1, and rectangle 2. The most radiological optimizing geometries were found to be the disk, followed by the point source, sphere 1, and cylinder 1, while the rectangle or parallelepiped 2 source forms were the worst cases. Neutron and photon generated fluxes were computed, and the parallelepiped 2 source geometry generated the lower value of flux inversely to the effective dose rate computed in the decision-making area, where it was found to be the highest value. The obtained results were in agreement with the as low as reasonably achievable principle for the exposure rate optimization. The obtained exposure dose rates were found to be <∼2 µSv/h (maximum value on horizontal calculation) and 1.75 µSv/h (maximum value on vertical computation), which are lower than the 2.5 µSv/h acceptable limit for the public area. Whenever possible, the DSRSs should be pressed into a disk form (or a cylindrical form with a small height) before embedding them into the Am1 P60 capsule for disposal purposes. The dose profile for the 241Am/Be source obtained, the neutron flux, and the gamma generated from neutron absorption showed agreement with the expected experimental physical data. The supported data contribute to postulate that Monte Carlo methods are effective computational tools that can be used to select the most effective radioactive waste form for disposal purposes.
Master-equation-based approach to stochastic processes in few-electron systems and advanced considerations for practical applications
Authors: Omura Yasuhisa
Published: November 2021

This paper revisits the master-equation-based approach to physical parameters to characterize transport in three-dimensional and low-dimensional few-electron systems. Advanced expressions of the electron density are theoretically derived at equilibrium for a system having traps. It is revealed that electron density at equilibrium is slightly higher than that without any interface traps as a result of the influence of dynamic trapping/detrapping processes. The capture time constant of electrons applicable to practical systems having traps, such as silicon-related materials, is also theoretically derived. The theoretical model is examined by numerical calculations and experimental results. In wire-type metal–oxide–semiconductor devices, the capture-time constant model roughly reproduces its inverse-temperature dependence. The effective activation energy of the capture time constant is not significantly influenced by that of the emission time constant. In the conductive filaments of silicon oxide film created by electrical stress, the capture-time constant model basically reproduces its inverse-temperature dependence. The effective activation energy of the capture time constant is not significantly influenced by that of the emission time constant but is influenced by the cross-sectional area of the filament and the electron density in the filament. The capture-time constant model semi-quantitatively reproduces the experimentally observed bias dependence of the silicon oxide film. Numerical calculation results suggest that the carrier transit time assumed in the model depends on the physical properties of the materials used. Given the goal of this study, the theoretical approach basically produces successful results.
DC model for SiC MOSFETs using artificial neural network optimized by artificial bee colony algorithm
Authors: Liu Yuan , Zhang Wanqin , Zhu Zeqi , Dong Xiao , Deng Wanling
Published: November 2021

A DC model for silicon carbide (SiC) metal–oxide–semiconductor field effect transistors (MOSFETs) is proposed in this paper using a hybrid modeling method based on the artificial neural network and artificial bee colony (ABC) algorithm. A multi-layer perceptron neural network using the Levenberg–Marquardt (LM) method is applied to model SiC MOSFETs based on the data provided by the datasheet. The search strategy of artificial bees is improved based on the standard ABC, which enhances the search ability of the standard ABC. In view of the sensitivity of the LM method to the initial value, the improved ABC algorithm is adopted to help the neural network find initial weights and biases, which improves the accuracy of the modeling results. Comparing the modeling results with the I–V curves in the datasheet, the accuracy of the DC model is verified under different temperatures. In addition, the small signal parameters gm and gd that are not exposed in the training process also fit well with the datasheet, which fully demonstrates the feasibility of this hybrid modeling method.
Anisotropic wetting and final shape of droplets impacting on micropillars with non-vertical lateral walls
Authors: Ding Wenwu , Dorao Carlos A. , Fernandino Maria
Published: November 2021

The control of the droplet shape during the impact on a solid surface is of relevance for several practical applications, such as inkjet printing technologies. Although several studies have reported factors affecting the final droplet shape, understanding of the liquid spreading process is still lacking. In this work, droplets of different velocities are deposited on surfaces patterned with conical and cylindrical pillars. It is shown that for the structures of the same height and pitch, the shape of the lateral wall of the micro-structures affects the droplet shape. In addition, at higher deposition velocity, the initial polygonal/square shape of the droplets evolves into a more circular shape. The change in the shape due to the lateral wall of the structures is the result of the solid–liquid contact both above and below the structures and the way in which the liquid is able to move in between the structures for different passage areas.
Reducing “slice cross-talk” effect in metamaterial assisted fast spin-echo MRI
Authors: Brui E , Rapacchi S , Bendahan D , Andreychenko A
Published: November 2021

Imaging of subtle changes in hand structures is challenged by the limited image quality, especially at 1.5 T. Reduction of specific absorption rate in metamaterial-assisted 1.5 T MRI provides an opportunity to utilize efficient pulse sequences and to improve the quality of acquired images. This work is devoted to the assessment of potential improvements of slice selectivity and reducing a ”slice cross-talk” artifact, using fast spin-echo (FSE) pulse sequence together with a metamaterial-based coil. The slice selection in conventional T1-weighted FSE wrist imaging pulse sequences was modeled using a ”Bloch Equations Simulator”. Two types of pulses were compared: apodized SINC pulses (reference) common for clinical FSE, and optimized selective Shinnar–Le Roux (SLR) pulses constructed in the MATPULSE program. Regular and SLR-based FSE pulse sequences were tested in a phantom experiment with different gaps between slices to investigate the “slice cross-talk” artifact presence. Combining the utilization of the metamaterial-based coil with an SLR-based FSE provided 28 times lower energy deposition in a duty cycle, as compared to the regular FSE with a conventional transmit coil. When the slice gap was decreased from 100% to 0%, the “slice cross-talk” effect reduced the signal intensity by 16%-18% in the SLR-based FSE and by 23%-32% for the regular FSE. The use of SLR pulses together with the metamaterial-based coil allowed to reduce the ”slice cross-talk” effect in contiguous FSE, while still being within the safe SAR limits.
Conditions for a pure toroidal dipole source
Authors: Valero Adrià Canós
Published: November 2021

Recently, the physical significance of dynamic toroidal multipoles in the context of electrodynamics has been put under discussion. Indeed, the latter can be shown to arise simply from a Taylor series of the exact source (Cartesian) multipole moments. The split into elementary and toroidal parts was demonstrated to lead to an unphysical result were forbidden components of the momentum transform of the current could radiate into free space. In this contribution, we elaborate the conditions that a current distribution must necessarily satisfy to be considered a ‘pure’ toroidal dipole source. We demonstrate for the first time that symmetry prevents such current distribution to radiate as an elementary electric dipole moment, without leading to an unphysical result. Thus, while both elementary electric dipole and toroidal dipoles are indistinguishable outside the source, they display topologically distinct characteristics within the smallest spherical surface enclosing the source itself and have different physical origin. Based on our results, a pure ‘toroidal’ source can be designed. We believe the outcome of our investigations will help clarify further the formal meaning of the toroidal multipoles.
Spontaneous symmetry breaking in lasers with periodically modulated gain and refractive index
Authors: Dolinina D , Staliunas K , Yulin A
Published: November 2021

The dynamics of light in active optical systems with periodic complex potential is considered using coupled modes approach where the field is approximated by two counter propagating waves. It is demonstrated that shifting the position of the imaginary part of the potential (effective gain) with respect to the real part of the potential (variation of the refractive index) one can control the effective gain/losses seen by the upper and the power modes. This effect can be used to control the radiation from the laser. The effect of the Kerr nonlinearity is also considered and it is shown that this can result in spontaneous symmetry breaking leading to the formation of the hybrid nonlinear states.
Mesoporous perovskite solar cells with Al- and Zn-based metal-organic frameworks
Authors: Furasova A.D. , Hix G. , Makarov S.V. , Di Carlo A.
Published: November 2021

The improvement of lead halide perovskites solar cells (PSC) by hydrophobic metal-organic frameworks (MOF) is one of the promising tools for modern photovoltaic technology to achieve stable and efficient thin-film devices. To show the MOF applicability for PSC, we incorporate two types of MOF: NH2-MIL-53(Al) and basolite Z1200 in n-i-p mesoporous MAPbI3 based solar cells that can add 2.2% efficiency by increasing main photovoltaic parameters. The simplicity of the proposed MOF’s integration allows to use and adopt this approach to incorporate other frameworks for thin-film perovskite devices.
Excitation of a homogeneous dielectric sphere by a point electric dipole
Authors: Gaponenko Roman , Rasskazov Ilia , Moroz Alexander , Pidgayko Dmitry , Ladutenko Konstantin , Shcherbakov Alexey , Belov Pavel
Published: November 2021

Electrically small dielectric antennas are of great interest for modern technologies, since they can significantly reduce the physical size of electronic devices for processing and transmitting information. We investigate the influence of the resonance conditions of an electrically small dielectric spherical antenna with a high refractive index on its directivity and analyze the dependence of these resonances on the effectively excited modes of the dielectric sphere.
Tip-enhanced Stokes and anti-Stokes Raman scattering in defect-enriched carbon films
Authors: Gazizov Almaz R , Salakhov Myakzyum Kh , Kharintsev Sergey S
Published: November 2021

Anti-Stokes Raman scattering is one of the mechanisms that lie behind an optical refrigeration due to release of photons with greater energy than of incoming photons. To achieve a cooling regime the enhancement of anti-Stokes scattering is necessary, since spontaneous Stokes scattering dominates over anti-Stokes scattering under normal conditions. Here, we investigate the opportunity of enhancement of spontaneous anti-Stokes Raman scattering in defect-enriched carbon film by means of localized plasmon resonances. In our simulations, incoherence of Raman scattering results in excess of anti-Stokes intensity over Stokes one. However, when the field is localized within the phonon coherence volume (coherent regime), the anti-Stokes intensity is lower compared to Stokes one. The provided analysis shows that plasmon-enhanced anti-Stokes Raman scattering can be achieved in highly-defective carbon films. The results are beneficial for Raman-based temperature measurements on the nanoscale.
Arrays of electrically small antennas with SINIS detectors for SubTHz astronomy and atmosphere propagation research
Authors: Gunbina Aleksandra , Tarasov Mikhail , Lemzyakov Sergey , Vdovin Vyacheslav , Yakopov Grigory , Yusupov Renat , Chekushkin Artem , Nagirnaya Daria , Edelman Valerian
Published: November 2021

An overview of different arrays of electrically small annular antennas of 350 GHz band with integrated superconductor-insulator-normal metal-insulator-superconductor (SINIS) detectors is presented in this paper. Arrays developed for both astronomical observations on the BTA 6 m telescope and measurements there of test sources for investigation of atmospheric turbulence to estimate its influence on the data rate of subTHz telecommunication channels. It is shown both numerically and experimentally that to simulate the electrodynamics of such non-phased antenna arrays it is necessary to investigate the whole array, not a single cell with Floquet ports. The first results of studying of superconducting antennas are also presented in this paper.
Tunable GaAs metasurfaces for ultrafast image processing
Authors: Iushkov Viacheslav , Shorokhov Alexander , Fedyanin Andrey
Published: November 2021

The design and construction of optical semiconductor metasurfaces for various applications have become an important topic in the last decade. However, most metasurfaces are static; they are optimized for only one exact purpose and typically realize only one operation. In this work, we discuss the basic methods for creating dynamic metasurfaces giving special attention to ultrafast optical switching and provide numerical modeling of metasurfaces made of GaAs material realizing different amplitude-phase profiles under asymmetrical optical pumping. The metasurfaces are composed of semiconductor discs immersed in a fused silica medium. We demonstrate that based on Fourier transform and spatial filtering methods, these structures can be used for image processing and optical computing. Ultrafast switching is achieved by using an optical pump-probe scheme. The characteristic relaxation times between the pumped state and the relaxed state are on the order of several picoseconds.
Fabrication of metal-dielectric nanoparticles from a bi-layer gold-silicon film by femtosecond laser-induced dewetting
Authors: Koromyslov S. V. , Ageev E.I. , Ponkratova E. Yu. , Zuev D. A.
Published: November 2021

Today the world demand for the creation of highly efficient nanoscale white light sources is growing. It happens because energy-efficient information and communication systems are being developed, in which optical signals are replacing electrical signals. For the fabrication of such devices, creating efficient nanoscale white light sources with high efficiency is very acute. Such structures obtained by current methods have a common disadvantages: a small spectral width and low efficiency. Here we demonstrate the development of metal-dielectric structures exploiting the single-step and lithography-free laser-induced dewetting of bi-layer gold silicon films and study their broadband photoluminescence.
Superscattering for non-spherical objects
Authors: Krasikov S.D. , Odit M.A. , Dobrykh D. A. , Yusupov I.M. , Mikhailovskaya A. A. , Shakirova D. T. , Shcherbakov A. A. , Slobozhanyuk A. P. , Ginzburg P. , Filonov D. S. , Bogdanov A. A.
Published: November 2021

In this work we generalize the notion of superscattering and associate it with a symmetry group of a scattering object. Using the group theory approach we describe a way to spectrally overlap several eigenmodes of a resonator in order to achieve scattering enhancement. Importantly, this can be done by simple variation of geometric parameters of the system, implying that the symmetry is preserved. We also demonstarte that a scattering cross-section limit of a spherical object is not valid for the case of non-spherical geometries. As an example, we use finite-size ceramic cylinder and demonstrate that a dipolar scattering cross-section limit of a spherical object can be exceeded by more then 3 times. The obtained results may be promising for design of antennas and radio frequency identification systems.
Aldehyde Gas Detection using Nanostructured Zno-based Gas Sensor fabricated via Horizontal Vapor Phase Growth Technique
Authors: Olarve R S , Dela Torre H M , Foronda J R , Santos M G , Sajor N J , Lopez T B , Haygood K J , Santos G N
Published: November 2021

Detection of aldehydes such as pentanal, hexanal, octanal, and nonanal are studied with the use of nanostructured zinc oxide (ZnO) as sensing element. ZnO nanowires synthesized at optimized growth parameters using horizontal vapor phase growth (HVPG) technique was used due to its unique properties in gas sensing applications. Scanning Electron Microscope (SEM) and Energy Dispersive X-Ray (EDX) were used to verify the growth of ZnO nanowire structures. Further characterization using Source Meter was used to measure its resistance and resistivity based on the I-V graph. The sensor substrate wire set-up is connected to the Source Meter for resistance measurements as exposed to the different gas concentration of aldehydes. Gas sensing measurements were done at the static headspace gas concentration of the identified aldehydes. The sensor response of nanostructured ZnO-based gas sensor towards different gas concentrations ranges from 5.84% to 38.08%. Response time varies but it was observed that octanal gas has the longest response while pentanal has the fastest response.
Fluorescence lifetime-based intracellular thermometry for photothermal therapy
Authors: Peltek Oleksii O , Ageev Eduard , Talianov Pavel M , Zyuzin Mikhail V
Published: November 2021

Photo-thermal therapy (PTT) is a rapidly developing approach for cancer treatment, that has greatly benefited from the tremendous advances in the synthesis of plasmonic nanoparticles (NPs), which can be used as light sensitive agents. This approach is based on the local induction of hyperthermia via light irradiation of plasmonic NPs in order to thermally kill cancerous cells. Such an approach ensures a high precision of treatment and the mechanism of action makes it as a valid alternative for treatment of malignant neoplasms with a multi-drug resistance. However, in order to minimize the adverse effects of PTT it is necessary to precisely measure and control the achieved temperatures at the tumor foci during light irradiation. Herein we report a novel technique to monitor intracellular temperatures during PTT based on temperature sensitive fluorescent dye, Rhodamine B. These findings may improve the quality of treatment and reduce unwanted adverse effects.
The algorithm for generating the training set for the problem of elastoplastic deformation of the metal rod
Authors: Seleznov Mykhailo
Published: November 2021

The paper proposes an algorithm for forming a small training set, which will provide a reasonable quality of a surrogate ML-model for the problem of elastoplastic deformation of a metal rod under the action of a longitudinal load pulse. This dynamic physical problem is computationally simple and convenient for testing various approaches, but at the same time it is physically quite complex, because it contains a significant range of effects. So, the methods tested on this problem can be further applied to other areas. This work demonstrates the possibility of a surrogate ML-model to provide a reasonable prediction quality for a dynamic physical problem with a small training set size.
Solution of the Kadomtsev-Petviashvili equation using an improved homotopy perturbation method
Authors: Sagar Zephania C F , Harisankar P C , Sil Tapas
Published: November 2021

An improved homotopy perturbation method (LH) applied to find approximate solution of KP equation. The results obtained ensure that LH is capable for solving the strongly higher dimension nonlinear partial differential equation such as KP equation. The approximated solution obtained by LH is compared with exact solution.
Analysis and Design of Reinforced Concrete Thin Cylindrical Shell
Authors: Barbhuiya Gulzar H. , Hasan Syed Danish , Al-Rashid Mohammed Harun
Published: November 2021

The need to come up with economical and efficient structural design led the engineers and researchers to focus more on shell structures. It is more durable, economical as it requires a minimum amount of material provides larger interior space and is aesthetic. A shell dominantly behaves as a membrane, though, at the edges, bending stresses get accumulated. Albeit several theories have been put forward, Schorer’s theory is eminent in the analysis of the long span thin cylindrical shells. This study is focused on the analysis of the stresses by utilizing the Fourier series and Schorer’s theory. Further, the shell is designed for the steel reinforcement as per the Concrete Reinforcing Steel Institute (CRSI) Design Handbook after calculating the final stress resultants and the detailing is also depicted.
Developing Sustainable Schools in the Shadow of Active Stratovolcano: A Study at Disaster-Prone Areas of Merapi Volcano
Authors: Nurhadi  , Ashari A , Sutrisnowati S A
Published: November 2021

Education is a right for people that must be given to children, even in an emergency of eruption disaster. To ensure the sustainable education during the crisis situations, ideas on how to develop a sustainable school system in the stratovolcano area which is prone to eruption disaster are needed. This research was conducted at schools located in the western side of Merapi Volcano, attempting to provide alternative information about the potential and role of schools in providing education during emergency situations of eruption disaster. Data in the study were collected through interviews, observations, remote sensing image interpretations, and documentations. Data were analysed by scoring and spatial analysis using geographic information systems. The results of the study are as follows. First, schools have the potential to provide education during the disaster emergency situations. School potential consists of physical infrastructure and human resource potential in the form of the role of the principal and teachers. Second, most of the level of school preparedness in facing disasters is still in the low category. This needs to be strengthened to ensure that the schools continue to function during the crisis period. Last, a division of roles in the sister school system is needed based on the location of the school toward the eruption centre. The schools in the safe zone act as a buffer for schools in vulnerable areas. Overall, schools have the potential to keep running the learning process during the crisis periods. This requires good management through the sister school system within the framework of sustainable school initiatives.