bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of γ-irradiation on AC electrical and impedance spectroscopy of Ni-Zn nano ferrites
Authors: Kumar M V Santhosh , Alzahrani Hassan A H , G J Shankaramurthy , K K Nagaraja , Alsaiari Abdulmohsen O , B M Prasanna , N Chandamma 
Published: July 2022

AbstractHerein we report the effect ofγ-irradiation on the structural and AC electrical properties of Ni-Zn nanoparticlesNi1−xZnxFe2O40≤x≤1synthesised via the citrate auto-combustion technique. The x-ray diffraction (XRD) analysis of the samples revealed a decreasing trend of the crystallite size with increasing concentration of Zn2+ions, and -irradiation alters the crystallite size for more Ni2+ion concentrations. The lattice constant was found to increase with Zn2+concentration, with the highest for x = 0.6. However, after irradiation, substantial change occurs. The lattice strain is greater for x = 1 as well as lower for x = 0.4. The observable modifications in the morphology of the samples upon irradiation are identified. The AC-electrical behaviour of the sample was studied before and afterγ-irradiation in the frequency range of 1 MHz–23 MHz. Studies show that the dielectric constant increases on irradiation, whereas the dielectric loss and AC conductivity decline after irradiation. The dielectric relaxation changes from non-Debye to Havriliak–Negami relaxation, which is the significance of asymmetric broadness in the relaxation process. The collective AC electrical properties were signifies the radiation absorption response.
Multiperiodic and chaotic wave phenomena of collective ion dynamics under KP-type equation in a magnetised nonextensive plasma
Authors: Saha Asit , Pradhan Barsha , Natiq Hayder 
Published: July 2022

Abstract
Dynamical features of small-amplitude ion-acoustic waves are investigated under KP-type equation in a magnetized electron-ion plasma, where electrons follow q-nonextensive distribution. To carry out this investigation, a four dimensional conservative dynamical system is proposed from this plasma model. By changing values of travelling wave velocity, ratio between ion gyro frequency and ion plasma frequency and q-nonextensive parameter, the system produces different dynamical features, such as periodic, multi-periodic, quasiperiodic, and chaotic ion-acoustic wave phenomena. It is observed that ratio between ion gyro frequency and ion plasma frequency plays the key role in the existence of ion-acoustic chaotic wave phenomenon. Also, existence of higher order periodic trajectories is seen to indicate chaotic phenomenon.
Direction decoding of imagined hand movements using subject-specific features from parietal EEG
Authors: Sagila Gangadharan K , Vinod A P 
Published: July 2022

Abstract

Objective. Research on the decoding of brain signals to control external devices is rapidly emerging due to its versatile potential applications, including neuroprosthetic control and neurorehabilitation. Electroencephalogram (EEG)-based non-invasive brain–computer interface (BCI) systems decode brain signals to establish an augmented communication and control pathway between the brain and the computer. The development of an efficient BCI system requires accurate decoding of neural activity underlying the user’s intentions. This study investigates the directional tuning of EEG characteristics from the posterior parietal region, associated with bidirectional hand movement imagination or motor imagery (MI) in left and right directions. Approach. The imagined movement directions of the chosen hand were decoded using a combination of envelope and phase features derived from parietal EEGs of both hemispheres. The proposed algorithm uses wavelets for spectral decomposition, and discriminative subject-specific subband levels are identified based on Fisher analysis of envelope and phase features. The selected features from the discriminative subband levels are used to classify left and right MI directions of the hand using a support vector machine classifier. Furthermore, the performance of the proposed algorithm is evaluated by incorporating a maximum-variance-based EEG time bin selection algorithm. Main results. With the time bin selection approach using subject-specific features, the proposed algorithm yielded an average left vs right MI direction decoding accuracy of 73.33% across 15 healthy subjects. In addition, the decoding accuracy offered by the phase features was higher than that of the envelope features, indicating the importance of phase features in MI kinematics decoding. Significance. The results reveal the significance of the parietal EEG in decoding of imagined kinematics and open new possibilities for future BCI research.
Silicon nanoparticles as active materials for LED: laser synthesis and functionalization for tuning luminescence
Authors: D’Amato R. , Iacono S. Dello , Santoni A. , Reale P. , Limosani F. , Terranova G. , Botti S. , Bonfigli F. , Migliori A. , Scalbi S. 
Published: July 2022

Abstract
Silicon nanocrystals (SiNPs) are an extensively studied light-emitting material due to their inherent biocompatibility and easy integration with silicon-based technology. Although low luminescence quantum yields of as-prepared SiNPs, the exploitation of the surface chemistry of SiNPs plays a key role in tuning their luminescence. In this work, the development of SiNPs as active materials for innovative LEDs was investigated. SiNPs were synthesized by using laser pyrolysis, a very flexible tool for lab-scale production in developmental quantities. The synthesized SiNPs have dimensions from 5 to 15 nm and high purity grade but show weak luminescence. For this reason, chemical treatments were performed on SiNPs: surface modifications lead to an improvement of their luminescence properties. Chemical and optical characterization were performed by conventional and advanced techniques, such as FTIR, BET, UV-VIS absorption and emission, XPS, TEM and confocal Raman. A Life Cycle Assessment (LCA) study of laser synthesis of SiNPs was conducted with the aim to identify the potential environmental impacts coming from this production method.
Hybrid materials based on inorganic aerogel and organic luminophore
Authors: Lebedev A , Suslova E , Kazmina K , Khomyakov A , Zykova M , Petrova O , Avetisov R , Menshutina N , Avetissov I 
Published: July 2022

Abstract
A new luminescent hybrid material based on inorganic aerogel “LightSil” (hereinafter referred to as HM-LS) has been fabricated. Organic phosphor has been directly synthesized from boron and 8-hydroxyquinolinol within the aerogel porous structure during its supercritical drying. Intercalation of various amounts of boron ions (0.01, 0.05 and 0.1 wt%) proceed at the gel aging stage. Synthesis and supercritical drying of materials were conducted in high pressure apparatus in a supercritical carbon dioxide medium at 120 bar pressure, 40°C and 500 g/h gas flow rate. The influence of ion amount on the luminescent, physical and structural characteristics of HM-LS were investigated. Analysis of the PL spectra showed that HM-LS with a boron ion concentration of 0.05 wt% has a highest photoluminescence intensity at a wavelength of 513 nm.
Influences of Raw Powder on Transparent Al2O3 Prepared by Two-Step Pulsed Electric Current Sintering
Authors: Ogashiwa Y , Suzuki Y , Tanaka K , Okumoto Y , Kuo Y-L. , Nanko M 
Published: July 2022

Abstract
In order to fabricate Al2O3 ceramics with high transparency, six types of commercial α-Al2O3 powders were consolidated with a two-step pulsed electric current sintering (PECS) in this study. High density in Al2O3 usually has a positive effect on its transmittance, while as some α-Al2O3 powders show low transparency with almost full-densification. It suggested that abnormal grain growth may affect transparency of Al2O3 ceramics. Since pressure sintering in Al2O3 is influenced with dynamic grain phenomena, the differences in abnormal grain growth must be influenced with difference in properties of Al2O3 powder such as crystallinity.
Semiconductor Metal Oxides Doped with Gold Nanoparticles for Use in Acetone Gas Sensors
Authors: Ovodok E. , Kormosh V. , Bilanych V. , Ivanovskaya M. 
Published: July 2022

Abstract
The effect of nanosized gold particles on the adsorption-sensitive properties of SnO2–Au sensors under the detection of acetone vapors has been studied. Different techniques for the preparation of SnO2–Au nanocomposites with an average Au particle size of 2 nm were applied. It has been found that a fivefold increase in the sensor response to acetone vapors and threshold sensitivity (C
lim) of 0.1 ppm are achieved by adding gold to tin dioxide in the colloidal form during synthesis. While adding gold in ion form (Au (III)) leads to a growth of the sensor response to acetone vapors by 2.7 times and defines C
lim of 0.2 ppm. The slope of the calibration curves of the SnO2–Au sensors allows registering acetone vapors at concentrations ranging from C
lim to 5 ppm. This concentration range can be used for express diagnostics in diabetes. The enhanced sensitivity of SnO2–Au sensors to acetone vapors can be explained by an increase in the adsorption-catalytic activity of tin ions as a result of the modifying effect of sulfate groups and the envolving of highly dispersed gold in the adsorption – catalytic process of oxidation of acetone molecules.
Hydrogen Embrittlement and its Effect on Fatigue Life of Nitrided Steel in Gigacycle Fatigue: Analysis and Modelling
Authors: Major Š 
Published: July 2022

Abstract
This paper deals with the effect of hydrogen embrittlement on the fatigue life of steels. This phenomenon is typical for the gigacycle fatigue region, but we also encounter it in surface-treated materials. in which a subsurface crack initiation has occurred. In samples in which the fracture is affected by the presence of hydrogen embrittlement, subsurface fatigue crack initiation occurs. In this work we observe the change in toughness and local elastic modulus depending on the hydrogen diffusion of hydrogen over time.
Radioactive Waste Embedding in Cement Matrix and the Establishment of Cemented Waste Testing Laboratory at Paks Nuclear Power Plant
Authors: Baranyi Attila , Kopecskó Katalin 
Published: July 2022

AbstractFor the treatment of low and intermediate level radioactive wastes generated at the Nuclear Power Plant of Paks, a new compact waste package will be created with a new cementation technology currently under construction. During the operation, the solid waste will be placed in steel drums, which then will be put into a thin-walled steel container. The cavity volume of the containers will be filled with cemented slurry made using liquid radioactive waste. The compact waste packages must comply with the waste acceptance criteria described in the National Radioactive Waste Repository Safety Report. The task of the cemented waste testing laboratory, which is under construction, will be the in-service inspection of the finished cemented material and the determination of properties such as compressive strength and leachability (diffusion coefficient) of the specimens made thereof. During the installation of the laboratory and testing of the devices used in the cement / concrete industry, it turned out that in many cases special moulds are required due to the low viscosity and corrosive properties of the radioactive paste. In addition, the collection of debris generated during the measurement of compressive strength of radioactive cement stone and the minimization of dusting are important requirements.
The Sterophotogrammetrical reconstruction of crack topography in Cr-Al-Mo nitrided steel and determination of condition at the crack front of sub-surface iniateted crack
Authors: Major Š , Hubálovská M 
Published: July 2022

Abstract
This article deals with problem of determination of condition at the crack front of specimens with nitrided surface layer. The determination of the conditions at the crack front is realized using the HRR theory of the stress field. The COD obtained by fractographic analysis were used as input values for the calculations This method for determining the conditions was applied to samples with fatigue crack, loaded by the Push-pull mode and further by torsion, bending and their combination. The fractographic analysis used 3D reconstruction of the fracture surface realized by stereophotogrammetry. In order to verify the effectiveness and applicability of the method, measurements performed on samples without a surface layer were also included in the analysis. Experimental work has shown that the described method can determine the conditions at the crack front, however, the method is much more suitable for samples without a surface layer than for nitrided samples. This is probably due to the fact that it is easier to measure COD values in this case.
Microstructural characterization of cement-bound materials influenced by the inclusion of Graphene Oxide (GO) – state of the art
Authors: Kopecskó Katalin , Abdulhussein Khaiqani Zaid Ali 
Published: July 2022

Abstract
In the last few years, the integration of graphene oxide (GO) into the cementitious matrix has evolved as one of the most well-known inclusion of nanomaterials. The paper addresses the advancement of GO research including the microstructure modifications of GO-modified cement-based materials. The effects of GO were evaluated based on the results of the related researches using different microstructural test methods. The use of GO in scientific disciplines like construction materials technology has made substantial progress. It demonstrates promising outcomes of using GO to develop innovative construction materials. However, further research is needed for future developments.
Influence of layers orientation of graphene stacks in shungite disordered carbon to its integral electrical conductivity
Authors: Antonets I V , Golubev Ye A , Ignatiev G V , Shcheglov V I , Gömze László A. , Sun Shiyong 
Published: July 2022

Abstract
The map of carbon distribution in the sample of graphene-containing shungite is investigated by the electron microscopy. It is found the large quantity of stacks which are formatted by parallel disposed layers of graphene. The model of electrical conductivity of graphene stack is proposed. This model takes into consideration the arbitrary orientation of layers relatively to the direction of current. It is made the numerical calculation of dependence of conductivity from the orientation of graphene layers. It is found the sharp abatement of conductivity by the orientation of graphene layers relatively to the current direction along the corner near the 45 degree. The obtained peculiarities are explained by the influence of geometrical factor.
The half-period addition formulae for genus two hyperelliptic ℘ functions and the Sp(4,

R

) Lie group structure
Authors: Hayashi Masahito , Shigemoto Kazuyasu , Tsukioka Takuya 
Published: July 2022

Abstract
In the previous study, by using the two-flows Kowalevski top, we have demonstrated that the genus two hyperelliptic functions provide the Sp(4,

R

)/

Z

2

≅ SO(3, 2) Lie algebra structure. In this study, by directly using the differential equations of the genus two hyperelliptic ℘ functions instead of using integrable models, we demonstrate that the half-period addition formula for the genus two hyperelliptic functions provides the order two Sp(4,

R

) Lie group structure.
Measuring outdoor I–V characteristics of PV modules and systems
Authors: Augusto André , Killam Alexander , Bowden Stuart G , Wilterdink Harrison 
Published: July 2022

Abstract
The cumulative installed capacity of photovoltaics has passed 1 TW, of which about two-thirds were only installed in the past five years. Many of these new installations incorporate novel module and cell designs that have not yet been subjected to long-term in-field characterization. Indoor accelerated stress testing has historically been a valuable methodology to identify fault mechanisms, estimate degradation rates, and to ensure the safety and normal operation of modules in the field. Still, these methodologies deliver an incomplete image of the exact stress mechanisms that photovoltaic systems are subject to outdoors, which vary with location, time of day, and time of year. In this work we review different outdoor methods to measure current–voltage (I–V) characteristics of photovoltaic systems, discuss how the environmental conditions impact those characteristics, and examine alternative methodologies for acquiring light and pseudo I–V characteristics more applicable to larger scale installations. This review also provides an insight into methods useful for real-time monitoring and degradation analysis at the module and string level.
PVC gel smart sensor for robotics sensing applications: an experimental and finite element simulation study
*
Authors: Sharif Montassar Aidi 
Published: July 2022

Abstract
Research is now being done on soft electroactive polymers (EAPs), such as polyvinyl chloride (PVC) gel, as an example, for use in soft robotics and smart sensors. Although the sensing behavior of PVC gel has not yet been thoroughly investigated, it has been determined that this material reacts in some way to the stimuli that come from the outside. PVC gels are being utilized to construct a broad variety of different kinds of smart sensors due to the fact that their deformation may be endlessly configured by variations in electrode arrangement, applied mechanical stress, and the amount of plasticizer contained within the gel. In this study, experimental characterizations and the results of finite element simulations are discussed for a PVC gel compression sensor. The finite element simulation of what happens to PVC gel when it is compressed from the outside using mechanical force has been built using the COMSOL Multiphysics, which is a finite element simulation software. Additional experimental measurements of PVC gels are carried out in order to validate the underlying principles that have been presented thus far by providing context for the results of the simulations and to validate the findings effectively. Based on the findings, it appears that the suggested sensor is able to detect compression at a variety of amplitudes and rates . This study sheds light on the sensing capabilities of PVC gel in sensing investigations and provides a framework for conducting such investigations, thereby laying the groundwork for an increase in the use of PVC gel sensors in soft robotics research in the future.
Advances in bismuth-based topological quantum materials by scanning tunneling microscopy
Authors: Li Yaqi , Zhang Jingwei , Xu Xun , Hao Weichang , Zhuang Jincheng , Du Yi 
Published: July 2022

Abstract
In recent years, topological quantum materials (TQMs) have attracted intensive attention in the area of condensed matter physics due to their novel topologies and their promising applications in quantum computing, spin electronics and next-generation integrated circuits. Scanning tunneling microscopy/spectroscopy (STM/STS) is regarded as a powerful technique to characterize the local density of states with atomic resolution, which is ideally suited to the measurement of the bulk-boundary correspondence of TQMs. In this review, using STM/STS, we focus on recent research on bismuth-based TQMs, including quantum-spin Hall insulators, 3D weak topological insulators (TIs), high-order TIs, topological Dirac semi-metals and dual TIs. Efficient methods for the modulation of the topological properties of the TQMs are introduced, such as interlayer interaction, thickness variation and local electric field perturbation. Finally, the challenges and prospects for this field of study are discussed.
Longitudinal Effects of Breast Cancer Treatment on Neural Correlates of Attention
Authors: Melara Robert D , Ahles Tim A , Prashad Neelam , Fernbach Madalyn , Edelman Jay A , Root James 
Published: July 2022

Abstract

Objective
Cognitive dysfunction has been observed consistently in a subset of breast cancer survivors. Yet, the precise physiological and processing origins of dysfunction remain unknown. The current study examined the utility of methods and procedures based on cognitive neuroscience to study cognitive change associated with cancer and cancer treatment.

Methods
We used electroencephalogram and behavioral measures in a longitudinal design to investigate pre- versus post-treatment effects on attention performance in breast cancer patients (n = 15) compared with healthy controls (n = 24), as participants completed the revised Attention Network Test, a cognitive measure of alerting, orienting, and inhibitory control of attention.

Results
We found no group differences in behavioral performance from pretest to posttest, but significant event-related potential effects of cancer treatment in processing cue validity: After treatment, patients revealed decreased N1 amplitude and increased P3 amplitude, suggesting a suppressed early (N1) response and an exaggerated late (P3) response to invalid cues.

Conclusions
The results suggest that treatment-related attentional disruption begins in early sensory/perceptual processing and extends to compensatory top-down executive processes.
Validation of and Normative Data of the DVAQ-30, a New Video-Naming Test for Assessing Verb Anomia
Authors: Macoir J , Routhier S , Auclair-Ouellet N , Wilson M A , Hudon C 
Published: July 2022

Abstract

Objective
Anomia is usually assessed using picture-naming tests. While many tests evaluate anomia for nouns, very few tests have been specifically designed for verb anomia. This article presents the DVAQ-30, a new naming test for detecting verb anomia in adults and elderly people.

Method
The article describes three studies. Study 1 focused on the DVAQ-30 development phase. In Study 2, healthy participants and individuals with post-stroke aphasia, mild cognitive impairment, Alzheimer’s disease, or primary progressive aphasia were assessed using the DVAQ-30 to establish its convergent and discriminant validity, test–retest reliability, and internal consistency. In Study 3, a group of adults and elderly Quebec French-speaking adults were assessed to obtain normative data.

Results
The DVAQ-30 had good convergent validity and distinguished the performance of healthy participants from that of participants with pathological conditions. The test also had good internal consistency, and the test–retest analysis showed that the scores had good temporal stability. Furthermore, normative data were collected on the performance of 244 participants aged 50 years old and over.

Conclusions
The DVAQ-30 fills an important gap and has the potential to help clinicians and researchers better detect verb anomia associated with pathological aging and post-stroke aphasia.