bluuebunny/crossref_metadata_2025 huggingface dataset:
Season Phase Comparison of Training and Game Volume in Female High School Volleyball Athletes
Authors: Muñoz Mario , Bunn Jennifer A.
Published: August 2023

This study evaluated the differences in training and match volume per set by season phase in female high school volleyball. Twelve athletes wore a device to measure total jumps (TJ) and high jumps (HJ), movements per minute (MPM), kinetic energy expended, and stress percent throughout the season phases: preseason, tournament, and district. In matches, athletes jumped less and had lower MPM in preseason (4.4 ± 2.3 TJ/set, 1.9 ± 0.5 MPM/set) compared with tournament (13.2 ± 8.1 TJ/set, 6.4 ± 1.7 MPM/set) and district (16.5 ± 9.9 TJ/set, 6.7 ± 1.8 MPM/set; p ≤ .001 for all) phases. District registered more HJ/set (2.6 ± 2.2 HJ/set) than preseason (0.7 ± 0.7 HJ/set, p = .007) and tournament phases (292 ± 172 J/lb/set, p < .001), and more kinetic energy expended/set (488 ± 174 J/lb/set) than preseason (201 ± 94 J/lb/set, p = .001). The highest training volume occurred during preseason with more TJ (preseason: 70.9 ± 26.0; tournament: 44.3 ± 19.3, p < .001; district: 34.7 ± 3.4, p = .004) and kinetic energy expended (preseason: 1,645 ± 547 J/lb; tournament: 980 ± 506 J/lb, p = .018; district: 1,108 ± 362, p = .016). Preseason training had higher stress percent (16.6 ± 3.0%) than tournament (19.4 ± 3.7%, p = .004) and more HJ (7.7 ± 6.3%) than district (3.1 ± 2.9%, p = .012). Match volume was unbalanced across the season phases, with preseason showing the lowest volume and district having the highest volume. This was counterbalanced with a higher training volume during the preseason compared with the other phases.
The Efficiency of Various DNA Polymerases for Amplification of Long Sequences from Genomic DNA and cDNA of Cultivated Potatoes
Authors: Antipov A. D. , Zlobin N. E.
Published: August 2023

Amplification of long fragments from complex templates, such as eukaryotic genomic DNA, is considered a difficult task for most DNA polymerases. In this research, six DNA polymerases were used to amplify full-length sequences from the genomic DNA of Solanum tuberosum genes encoding translation initiation factors of the eIF4E family, as well as for the synthesis of fragments of the potato Y virus genome from cDNA of potato plants infected by this virus. It was found that the efficiency of amplification by various DNA polymerases generally decreased with the increasing length of the amplicons. LongAmp and Platinum SuperFi II polymerases demonstrated the highest efficiency in the synthesis of long fragments, which made it possible to synthesize PCR products with a length of more than 10 000 base pairs with high efficiency. The lowest efficiency was demonstrated by Encyclo polymerase. None of the DNA polymerases provided efficient amplification of all the studied DNA fragments. At the same time, any of the studied DNA fragments could be effectively amplified using at least one DNA polymerase variant. Thus, the choice of DNA polymerase was of key importance for the efficiency of the synthesis of a desired PCR product.
Erratum to: Formation of Various Antimicrobial Peptide Emericellipsin Isoforms in Emericellopsos alkalina under Different Cultivation Conditions
Authors: Kuvarina A. E. , Sukonnikov M. A. , Rogozhin E. A. , Serebryakova M. V. , Timofeeva A. V. , Georgieva M. L. , Sadykova V. S.
Published: August 2023

An Erratum to this paper has been published: https://doi.org/10.1134/S0003683823320017
Erratum to: Cane Pretreatment by Deep Eutectic Solvents to Increase its Reactivity During Enzymatic Hydrolysis with Cellulases
Authors: Semenova M. V. , Vasil’eva I. S. , Yaropolov A. I. , Sinitsyn A. P.
Published: August 2023

An Erratum to this paper has been published: https://doi.org/10.1134/S0003683823320030
Analytical formulation for exciton in semiconductor quantum dot with parabolic confinement
Authors: EL Haddad A.
Published: August 2023

The exciton properties in cubical quantum dot (CQD), with parabolic confining potential, are theoretically investigated. We have used the two-band model, the effective mass approximation, and the variational method. The analytical expressions of the binding energy, the normalized photoluminescence (PL) energy transition, the spatial extension, and the oscillator strength of the exciton, in the ground state, have been obtained. The numerical calculations for the typical GaAs/Al x Ga1− x As CQD are presented. The effects of the CQD length and the Al concentration on the exciton properties are discussed. The results of the calculation illuminate that Al concentration and the CQD length can make an important impact on the exciton binding energy and the PL peak energy.
Predicting Provincial Gross Domestic Product Using Satellite Data and Machine Learning Methods: A Case Study of Thailand
Authors: PUTTANAPONG NATTAPONG , PRASERTSOONG NUTCHAPON , PEECHAPAT WICHAYA
Published: August 2023

This study introduced a new approach for monitoring regional development by applying satellite data with machine learning algorithms. Satellite data that represent physical features and environmental factors were obtained by developing a web-based application on the Google Earth Engine platform. Four machine learning methods were applied to the obtained geospatial data to predict provincial gross domestic product. The random forest method achieved the highest predictive performance, with 97.7% accuracy. The constructed random forest model was extended to conduct variable importance and minimal depth analyses, enabling the quantification of a factor’s influence on the prediction outcome. Variable importance and minimal depth analyses generated similar results, indicating that urban area and population are the most influential factors. Moreover, environmental and climate indicators exert medium-level effects. This study showed that integrating available satellite data and machine learning methods could be an alternative framework for facilitating a timely and costless monitoring system of regional development.
On the restriction of the moduli part to a reduced divisor
Authors: Floris Enrica
Published: August 2023

Let [Formula: see text] be a fibration such that [Formula: see text] is torsion along the fibers of [Formula: see text]. Assume that [Formula: see text] has dimension 2, or that [Formula: see text] has dimension 3 and the fibers have dimension at most 3. Then the restriction of the moduli part to its augmented base locus is semiample.
Construction and traffic dynamics analysis of multi-layer network model with different speed physical layers
Authors: Ma Jiaxin , Ma Jinlong , Zhang Yongqiang , Li Xiaotian
Published: August 2023

The study of traffic dynamics on multi-layer network contributes to revealing the traffic law of the actual network and suppressing the occurrence of network congestion. Focusing on actual network traffic characteristics, we construct a three-layer network model which consists of one logical layer and two physical layers. The traffic dynamics of the three-layer network model are carefully compared with different logical layer routing strategies. In addition, three indicators of load average, load standard deviation and load reduction rate are proposed to more intuitively observe the load conditions of physical layer nodes. We also study the impact of the degree distribution of physical layer on traffic capacity of three-layer network. It is found that when the preference of packets selection for small degree nodes is insufficient or excessive, it is not conducive to achieving higher traffic capacity.
EMISSION-MITIGATION-DRIVEN EXPORT TAX REBATE POLICY: AN EVOLUTIONARY GAME ANALYSIS
Authors: ZHOU ZHEN , HUANG JIAPEI , WANG XINKUN , ZHANG RUINING , LI HUI , ZHAO CHENGAN
Published: August 2023

Export tax rebates are a common policy in global trade. With improvements to manufacturing techniques and economic development levels, export tax rebate policies are transitioning from being driven by economic objectives to being driven by environmental objectives through the alignment of export performance with environmental protection. However, existing studies lack the consideration of trade-offs between environmental objectives and economic objectives, and rarely analyze the relationship between production strategies of enterprises and export rebate rates. To formulate an efficient export tax rebate policy, an evolutionary game model is established to reveal the game relationship between the government and enterprises when export tax rebates with different policy goals are implemented. Furthermore, the impacts of export tax rebates on social welfare under different evolutionary strategies are analyzed. According to the results, enterprises fail to produce clean products in the case where economic objectives have priority. In the case where environmental objectives have priority, the output of clean products is directly related to the export tax rebate rate. In addition, the optimal tax rebate rate depends on the environmental benefits and the weights on the environmental and economic objectives. The innovation of this study lies in using the optimal dynamic response mechanism and the replication dynamic equation evolution mechanism to analyze the government-enterprise game problem in the export tax rebate mechanism according to different learning ability of the government and the enterprise. Meanwhile, we consider the influence of the weight of economic and environmental goals on both strategic choice and social welfare. The findings provide a valuable reference for designing and optimizing export tax rebate policies, especially for countries that implement export tax rebate policies and desire to improve the environment urgently.
Analysis of the decay constants and form factors of pseudoscalar mesons in a dirac formalism
Authors: Panda B. K. , Panda S. , Panda A. K.
Published: August 2023

We investigate the weak leptonic and semileptonic decay widths of pseudoscalar light and heavy mesons in a Dirac formalism. We take relativistic-independent quark model of the form [Formula: see text], where [Formula: see text]. This is computed using the binding quark eigenfunction and taking the assumptions of a significant relationship between the quark and antiquark momenta inside the decaying meson in the rest frame. To calculate the decay constant [Formula: see text], decay width and branching fractions of pseudoscalar mesons, we employ the model parameters that we used earlier. The experimental findings and various similar models are in good agreement with our predictions such as [Formula: see text] and [Formula: see text]”. Finally, we calculate the form factors and branching fractions for the semileptonic [Formula: see text] decays [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text]” and find reasonable agreement with the experimental results.
Colliding gravitational waves and singularities
Authors: Aoki Sinya
Published: August 2023

We have investigated a model of colliding plain gravitational waves, proposed by Szekeres, whose structure of singularities is determined. We have evaluated a total energy of matter as a volume integral of the energy–momentum tensor (EMT), whose contributions arise only at these singularities. The total matter energy is conserved before a collision of two plane gravitational waves but decreases during the collision and becomes zero at the end of the collision. We thus interpret that this model of colliding plane gravitational waves is a space–time describing a pair annihilation of plan gravitational waves. We have also calculated a matter conserved charge proposed by the present author and his collaborators. The matter charge is indeed conserved but is zero due to a cancelation between two plain gravitational waves. This seems natural since nothing remains after a pair annihilation, and gives a hint on a physical interpretation of the conserved charge, which we call the gravitational charge. By modifying the space–time for the pair annihilation, we newly construct two types of a scattering plane gravitational wave and a pair creation of plane gravitational waves, and combining all, a Minkowski vacuum bottle, a Minkowski space–time surrounded by two moving plane gravitational waves.
The Higgs condensate as a quantum liquid: A critical comparison with observations
Authors: Cea Paolo
Published: August 2023

The triviality of four-dimensional scalar quantum field theories poses challenging problems to the usually adopted perturbative implementation of the Higgs mechanism. In the first part of the paper, we compare the triviality scenario and the renormalized two-loop perturbation theory to precise and extensive results from nonperturbative numerical simulations of the real scalar field theory on the lattice. The proposal of triviality and spontaneous symmetry breaking turns out to be in good agreement with numerical simulations, while the renormalized perturbative approach seems to suffer significant deviations from the numerical simulation results. In the second part of the paper, we try to illustrate how the triviality of four-dimensional scalar field theory leads, nevertheless, to the spontaneous symmetry breaking in the scalar sector of the Standard Model. We show how triviality allows us to develop a physical picture of the Higgs mechanism in the Standard Model. We suggest that the Higgs condensate behaves like a relativistic quantum liquid leading to the prevision of two Higgs bosons. The light Higgs boson resembles closely the new LHC narrow resonance at 125 GeV. The heavy Higgs boson is a rather broad resonance with mass of about 730 GeV. We critically compare our proposal to the complete LHC Run 2 data collected by the ATLAS and CMS Collaborations. We do not find convincingly evidences of the heavy Higgs boson in the ATLAS datasets. On the other hand, the CMS full Run 2 data display evidences of a heavy Higgs boson in the main decay modes [Formula: see text], while in the preliminary Run 2 data there are hints of the decays [Formula: see text] in the golden channel. We also critically discuss plausible reasons for the discrepancies between the two LHC experiments.
A 2.48 pJ/pulse Low-Power IR-UWB Transmitter in 0.18-μm CMOS Process
Authors: Wei Baolin , Mo Peisi , Wei Xueming , Xu Weilin
Published: August 2023

This paper presents a low-power, OOK-modulated, impulse-radio ultra-wideband (IR-UWB) transmitter. The pulse generation method is derived from a filtered combined edge technique, where narrow pulses are produced by a delay-and-logic gate and shaped with a filter to generate UWB pulses compliant with the FCC standard. The pulse-shaping filter and antenna driving circuit are co-designed and combined into one, that is, a pulse amplifying and shaping circuit that operates in the C-class state, resulting in extremely low complexity, low power, and small circuit area. The proposed IR-UWB transmitter was implemented and fabricated using a standard 0.18-[Formula: see text]m complementary metal oxide semiconductor (CMOS) 1p6m process. The power supply voltage is 1.5[Formula: see text]V and the targeted maximal data rate is 250[Formula: see text]Mbps. The chip measurement results show that the output UWB signal covers 3.1–6.0[Formula: see text]GHz frequency band, the power spectrum density conforms to the FCC spectrum masks, and the peak-to-peak voltage of the output UWB pulses is 183[Formula: see text]mV. In addition, the core area of the chip is 0.098[Formula: see text]mm2 and the transmitter power consumption is 2.48[Formula: see text]pJ per pulse.
Feature Selection via Nonlinear Set Covering in Logical Analysis of Data
Authors: Yan Kedong , Xu Lin , Zhao Yixin , Guo Cui
Published: August 2023

In logical analysis of data, the feature selection step only considers selecting minimal number of features after binarization. This paper develops a nonlinear set covering model that explores the interaction between the number of selected original attributes and binarized features. Utilizing the partial derivative of pseudo-Boolean functions, we give a greedy heuristic for the nonlinear set covering problem. The efficacy of the algorithm is demonstrated through experiments on 10 public machine learning datasets from UCI repository.
Dead ends on wreath products and lamplighter groups
Authors: Silva Eduardo
Published: August 2023

For any finite group A and any finitely generated group B, we prove that the corresponding lamplighter group [Formula: see text] admits a standard generating set with unbounded depth, and that if B is abelian then the above is true for every standard generating set. This generalizes the case where [Formula: see text] together with its cyclic generator [S. Cleary and J. Taback, Dead end words in lamplighter groups and other wreath products, Q. J. Math. 56(2) (2005) 165–178]. When [Formula: see text] is the free product of two finite groups H and K, we characterize which standard generators of the associated lamplighter group have unbounded depth in terms of a geometrical constant related to the Cayley graphs of H and K. In particular, we find differences with the one-dimensional case: the lamplighter group over the free product of two sufficiently large finite cyclic groups has uniformly bounded depth with respect to some standard generating set.
Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition
Authors: Chandrakala S. , Vishnika Veni S
Published: August 2023

Efficient assistive speech technology is essential for persons with cognitive disorders to improve their standard of life. Various kinds of cognitive disorders affect the speech articulation. Disordered Speech Recognition (DSR) can be used for rehabilitation and gain much importance as the disordered speakers population keeps increasing in recent years. The speech utterance is commonly represented in the form of spectrogram. Since the spectrograms are noisy and incomplete, the corresponding spectrograms need to be enhanced. We propose an approach that explores Denoising Convolutional Autoencoder (DCAE) to enhance the spectrograms of disordered speech utterances which are then utilized to train CNN to recognize the disordered words. Evaluation of proposed approach is carried out using the 20 words (acoustically similar word classes) dataset and 50 words dataset of Impaired speech corpus in Tamil and 100 common words dataset of UA-Speech database. Significantly better performance is achieved by proposed approach than HMM, DNN-HMM, LFMMI and CNN without enhancement. The spectrogram enhancement using DCAE helps to obtain better discrimination among overlapping disordered word classes and achieves a maximum Word Recognition Accuracy.
Periods of continued fractions and volumes of modular knots complements
Authors: Rodríguez-Migueles José Andrés
Published: August 2023

Every oriented closed geodesic on the modular surface has a canonically associated knot in its unit tangent bundle coming from the periodic orbit of the geodesic flow. We study the volume of the associated knot complement with respect to its unique complete hyperbolic metric. We show that there exist sequences of closed geodesics for which this volume is bounded linearly in terms of the period of the geodesic’s continued fraction expansion. Consequently, we give a volume’s upper bound for some sequences of Lorenz knots complements, linearly in terms of the corresponding braid index.

Also, for any punctured hyperbolic surface we give volume’s bounds for the canonical lift complement relative to some sequences of sets of closed geodesics in terms of the geodesics length.
Expansion free spherical anisotropic solutions
Authors: Bhatti M. Z. , Yousaf Z. , Sabir I.
Published: August 2023

We investigate the behavior of expansion free collapsing fluids, as studied by L. Herrera, A. Di Prisco and J. Ospino [Symmetry 15 (2023) 754], in the framework of [Formula: see text] gravity, which represents a modification of Einstein’s general relativity by establishing a function of the Ricci scalar [Formula: see text] in the gravitational action. We explore dynamical equations from Bianchi identities that demonstrate the motion and evolution of physical systems under the influence of gravitational fields. We match the inner and outer geometries of spacetime on the hypersurface to develop junction conditions by using the Misner–Sharp formalism. This allows us to identify the connection between mass functions for the inner and outer space as well as the relationship for heat flux [Formula: see text] and radial pressure [Formula: see text]. We also investigate analytical solutions of dissipative fluid distribution that fulfill the vanishing expansion condition together with the vanishing complexity factor constraint. For this, we introduce new constraints that permit the integration of the complex system in [Formula: see text] gravity. Next, we extract a set of differential equations that explain the dynamical structure of the dissipative spheres both in geodesic and non-geodesic fluids. Furthermore, we explore the physical characteristics of the obtained solutions, such as heat flux, energy density, shear stress, fluid’s temperature along with tangential and radial pressure, to assess their viability in describing real astrophysical systems.
A FRACTAL ELECTRICAL CONDUCTIVITY MODEL FOR WATER-SATURATED TREE-LIKE BRANCHING NETWORK
Authors: ZHU HUAIZHI , XIAO BOQI , ZHANG YIDAN , ZHOU HUAN , LI SHAOFU , WANG YANBIN , LONG GONGBO
Published: August 2023

Electrical conductivity is an important physical property of porous media, and has great significance to rock physics and reservoir engineering. In this work, a conductivity model including pore water conductivity and surface conductivity is derived for water-saturated tree-like branching network. In addition, combined with Archie’s law, a general analytical formula for the formation factor is presented. Through the numerical simulation of the analytical formula above, we discuss the impact of some structural parameters ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] in tree-like branching network on the resistance, conductivity and formation factor. The results show that the total resistance [Formula: see text] is proportional to [Formula: see text], [Formula: see text], and inversely proportional to [Formula: see text], [Formula: see text]. The relation between conductivity and porosity in this model is contrasted with previous models and experimental data, and the results show considerable consistency at lower porosity. It is worth noting that when [Formula: see text], the conductivity and porosity curve of this model overlap exactly with those plotted by the parallel model. The fractal conductance model proposed in this work reveals the operation of the current in the tree-like branching network more comprehensively.
NONLOCAL LOW RANK REGULARIZATION METHOD FOR FRACTAL IMAGE CODING UNDER SALT-AND-PEPPER NOISE
Authors: PAN HUAN , LIANG ZHENGYU , LU JIAN , TU KAI , XIE NING
Published: August 2023

Image denoising has been a fundamental problem in the field of image processing. In this paper, we tackle removing impulse noise by combining the fractal image coding and the nonlocal self-similarity priors to recover image. The model undergoes a two-stage process. In the first phase, the identification and labeling of pixels likely to be corrupted by salt-and-pepper noise are carried out. In the second phase, image denoising is performed by solving a constrained convex optimization problem that involves an objective functional composed of three terms: a data fidelity term to measure the similarity between the underlying and observed images, a regularization term to represent the low-rank property of a matrix formed by nonlocal patches of the underlying image, and a quadratic term to measure the closeness of the underlying image to a fractal image. To solve the resulting problem, a combination of proximity algorithms and the weighted singular value thresholding operator is utilized. The numerical results demonstrate an improvement in the structural similarity (SSIM) index and peak signal-to-noise ratio.
POWER LAW DISTRIBUTION BASED ON MAXIMUM ENTROPY OF RANDOM PERMUTATION SET
Authors: YU ZIHAN , LI ZHEN , DENG YONG
Published: August 2023

Among all probability distributions, power law distribution is an intriguing one, which has been studied by many researchers. However, the derivation of power law distribution is still an inconclusive topic. For deriving a distribution, there are various methods, among which maximum entropy principle is a special one. Entropy of random permutation set (RPS), as an uncertainty measure of RPS, is a newly proposed entropy with special features. Deriving power law distribution with maximum entropy of RPS is a promising method. In this paper, certain constraints are given to constrain the entropy of RPS. Power law distribution is able to be finally derived with maximum entropy principle. Numerical experiments are done to show characters of proposed derivation.
HARDWARE ACCELERATION OF DNA READ ALIGNMENT PROGRAMS: CHALLENGES AND OPPORTUNITIES
Authors: DANIEL PACHECO-BAUTISTA , RICARDO CARREÑO-AGUILERA , IGNACIO ALGREDO-BADILLO , MIGUEL PATIÑO-ORTIZ
Published: August 2023

The alignment or mapping of Deoxyribonucleic Acid (DNA) reads produced by the new massively parallel sequencing machines is a fundamental initial step in the DNA analysis process. DNA alignment consists of ordering millions of short nucleotide sequences called reads, using a previously sequenced genome as a reference, to reconstruct the genetic code of a species. Even with the efforts made in the development of new multi-stage alignment programs, based on sophisticated algorithms and new filtering heuristics, the execution times remain limiting for the development of various applications such as epigenetics and genomic medicine. This paper presents an overview of recent developments in the acceleration of DNA alignment programs, with special emphasis on those based on hardware, in particular Graphics Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), and Processing-in-Memory (PIM) devices. Unlike most of the works found in the literature, which review only the proposals that gradually emerged in some specific acceleration technology, this work analyzes the contemporary state of the subject in a more comprehensive way, covering from the conception of the problem, the modern sequencing technologies and the analysis of the structure of the new alignment programs, to the most innovative software and hardware acceleration techniques. The foregoing allows to clearly define, at the end of the paper, the trends, challenges and opportunities that still prevail in the field. We hope that this work will serve as a guide for the development of new and more sophisticated DNA alignment systems.
GENERATION OF EFFUSION HOLES ON ULTRA-HIGH TEMPERATURE ALLOY BY MICRO ELECTRO-DISCHARGE MACHINING PROCESS
Authors: DHUPAL DEBABRATA , PANIGRAHI DEBASISH , ROUT SWETA , BHUYAN RAJESH KUMAR , NAYAK SOUMYARANJAN , JENA PANKAJ CHARAN , DAS SUDHANSU RANJAN
Published: August 2023

Fabrication of surface features like effusion holes on ultra-high temperature (UHT) alloys with micro electro-discharge machining ([Formula: see text]-EDM) is a very convolute strategy. Due to the exceptional mechanical properties and resistance to ease brittle transformation at elevated temperatures, UHT alloys are being widely used in hot sections of aero engines. This research tailored the existing capabilities of [Formula: see text]-EDM setup by employing a copper-tungsten (Cu-W) hybrid tool electrode which has been rarely reported. This research addresses investigations, predictive modeling, and optimization during [Formula: see text]-EDM of UHT alloy, namely Inconel 718. For experimentation, the factors like inter-electrodes gap (IEG), current ([Formula: see text]), and pulse on/off time ([Formula: see text]on, [Formula: see text]off) were considered as input variables to analyze the responses like overcut (OC), tool wear rate (TWR), material removal rate (MRR), and diametric alterations in between the top and bottom shape of holes’ feature (DE). The multi-objective desirability-based artificial bee colony optimization (MOABC) projected optimal parametric settings of 5.276 A, 16.389 [Formula: see text]s, 1.77 [Formula: see text]s, and 50 [Formula: see text]m for [Formula: see text], [Formula: see text]on, [Formula: see text]off, and IEG, respectively. These settings provide MRR, TWR, OC, and DE solutions of 0.001479, −0.00038, 0.030239, and 0.047048 mm, respectively. Further, the confirmation test has been performed to validate the optimal solution. The results supported the ideal settings with error values of 0.03177, 1.31578, 0.05863, and 0.04704 for MRR, TWR, OC, and DE, respectively. Distinctive diagnostic tests assessed by several statistical parameters ([Formula: see text], [Formula: see text], [Formula: see text]2, AD-P values) confirmed that the accuracy of developed models for prediction of various performance characteristics has high degree of resemblance with experimental results and the adequacy as well as accuracy of models is also demonstrated. Moreover, the surface morphology has also been scrutinized by microscopical observation to perceive the consequences of the electro-discharge phenomenon on both electrodes. Overall, the research comprises experimentation, surface integrity study, and parametric optimization followed by a confirmation test to perform the betterment of the current [Formula: see text]-EDM approach.
ELECTRICAL PROPERTIES OF ZnO(x)–Co3O4(1−x) (x = 0.7, 0.5, 0.3) OXIDE THIN FILMS VIA FOUR POINT PROBE DEVICE: SUBSTRATE TEMPERATURE EFFECT ON THE ELECTRICAL PROPERTIES
Authors: BOUREGUIG K. M. E. , TABET-DERRAZ H. , BENALI M. A.
Published: August 2023

ZnO[Formula: see text]–Co3O[Formula: see text]([Formula: see text]= 0.7, 0.5, 0.3) oxide thin films were synthesized via spray pyrolysis deposition. The obtained films were investigated to find the surface electrical resistance ([Formula: see text]) and conductance ([Formula: see text]) using the four point probe device and the Van der Pauw mathematical relation to estimate the electrical resistivity ([Formula: see text]) and conductivity ([Formula: see text]). In addition, the electrical resistance, conductance, resistivity and conductivity were obtained. From the obtained results, we have observed that the electrical quantities of the nanocomposite films are close to the interval bounds of the electrical quantities of the pure materials. For example, at room temperature, the electrical resistivity values of ZnO, Co3O4, ZnO[Formula: see text]–Co3O[Formula: see text], ZnO[Formula: see text]–Co3O[Formula: see text] and ZnO[Formula: see text]–Co3O[Formula: see text] were found to be around 6.89 × 10[Formula: see text], 1.58−103, 339.75, 611.55 and 1333.632 Ω.cm, respectively. This note can be depending on the density (concentration) of the carriers (electron/holes) of the constituents (pure material) of the composite material. Besides, the variations of these quantities were measured as a function of the substrate temperature. It was found that the conductance and conductivity vary proportionally with the temperature, but the electrical resistance and resistivity were inversely proportional. This remark indicates a semiconducting electrical behavior. The possible reaction mixture of pure semiconductors materials in the synthesis process is explained. The studied semiconductor oxides show interesting electrical properties, which makes them potential candidates to be used in various optoelectronic devices.
Holes Problem Solving in Khalimsky Topology Protocol for Wireless Sensor Networks (WSNs)
Authors: Mezghani Mahmoud , Mezghani Omnia
Published: August 2023

In this paper, we propose an approach solving the holes problem in Wireless Sensor Networks (WSNs) based on Khalimsky k-Clustering and data routing protocol (MDKC). The aim of this solution is to establish optimized data routing paths between isolated nodes/clusters and the Sink in noisy environment with the presence of obstacles. This approach is an improvement of a previous work deploying stationary WSN not dealing with the problem of “holes”. At first, the MDKC algorithm divides the WSN into k-hop [Formula: see text] compact dynamic clusters. For each cluster, a node is elected cluster-head in its k-neighborhood according to some criteria such as the remaining energy, the k-degree and the communication probability average. Then, some nodes are selected as Khalimsky anchors to optimize the intra-cluster data routing process. The Khalimsky anchors at the border layers ensure the inter-cluster data routing between adjacent clusters. In the next phase of MDKC, Mobile Collectors (MCs) are used for data collecting and relaying from isolated nodes/clusters to the connected Khalimsky’s nodes. The simulation results prove that MDKC minimizes the energy consumption and improves the connectivity rate between sensors and the delivery rate compared to some existing approaches.
The Effect of Core Metal Layer Thickness on the Behavior of Carall Under Low Velocity Impact Loading
Authors: Megeri Sadananda , Narayana Naik G.
Published: August 2023

Fiber metal laminates are the advanced composite materials, in which the metal and FRP layers are stacked alternatively to achieve the desired properties. The presence of FRP layers enhances the fatigue, fracture properties and weight savings. Durability and plasticity of the metal plays a significant role in the design of fiber metal laminates. This study evaluates the role of middle metal layer (core) thickness on the behavior of Carall fiber metal laminates under low velocity impact loading. Two types of Carall 3/2 with middle layer of varying thickness are considered. The metal volume fraction is same for both the laminates. Finite element simulations have been carried out for the laminates considered according to the standard ASTM D7136. Johnson–cook plasticity and damage model and two-dimensional Hashin damage criteria have been used to model the aluminum and CFRP respectively. From the study, it was found that the placement of thicker layer at the middle position in the Fiber metal laminate enhances the impact resistance of Carall. The energy absorption studies also indicate that the presence of thicker layer at the middle position increases the energy absorption capability.
Dynamics of 3D Slender Blocks: A Mathematical Model
Authors: Pradhan Chandan , Roy Rana
Published: August 2023

The dynamics of three-dimensional (3D) slender systems such as statues, obelisks, monuments, museums, and household objects are highly nonlinear. In this study, a numerical model for rigid blocks in 3D, referred to as the physical model (PM), is developed to explore and view the motion of the slender blocks to base excitations. The model can represent the dynamics of both symmetric and mass-eccentric 3D blocks for unidirectional and bidirectional excitations. Keeping the kinematics of the system in view, the PM is developed as an assemblage of different subsystems in the Simscape Multibody Library. The rigid block supported by four tiny spheres at the corners is resting on a rigid table. Physical interaction between the table and the rigid body is simulated by introducing a virtual plane characterized by a spring and a damper that follows the visco-elastic Kelvin model. The values of the depth of the virtual plane, parameters of the Kelvin model, and the dimension of the tiny spheres are suitably chosen for such interaction. Adequately large values for kinetic and static friction are used in the virtual plane to prevent the body from sliding during its rocking motion. The motion of the table is described by choosing the inertial reference frame with origin at a fixed point and another parallel frame fixed with the tabletop. The response of the rigid body is described by the asymmetric Euler sequence. A third set of the frame, i.e. the body-fixed reference with the origin at the centre of mass of the corresponding symmetric body is introduced by a Bushing joint. A calculated amount of mass-eccentricity is generated by adding very small square blocks to the side-faces of the 3D symmetric block. The response of mass eccentric systems to trigonometric base excitations applied in-plane and out-of-plane of the eccentricity is computed using the PM, and a comparison of the same to the results derived analytically confirms the adequacy of the model. In the sequel, representative case studies are presented and interpreted to uncover the complex dynamics of the mass eccentric rocking systems. The PM can also serve as the basis of analyzing and viewing the motion of blocks with arbitrary geometry.
Numerical Investigation on Crack Propagation of Three-Dimensional Pipeline Under Seismic Wave Loading
Authors: Ren Meng , Zhang Yanmei , Fan Mu
Published: August 2023

Cracks in transport pipelines significantly impact their structural safety, making pipeline fracture damage a major concern. While experimental tests can study crack growth, their setup and costs are substantial. To address this, our work involves parametric analyses to investigate the effects of initial crack length, load types and sizes, and pipe wall thickness on the crack tip stress field. The finite element model is established according to the actual operation, and the crack defects of the pipe are established by the extended finite element method (XFEM). The crack tip variation is studied by extracting the von Mises stress and strain at the crack tip. When the crack propagates, the stress field at the crack tip will fluctuate in a certain range. The relationship between stress field fluctuation and crack propagation was studied by changing the XFEM crack growth for comparative analysis. Utilizing 429 numerical results obtained from a parametric numerical model implemented with Python and Abaqus, we establish a back propagation (BP) neural network prediction model to forecast the stress field at the crack tip. The relative errors between the numerical results and the predictions by our model remain below 5%. In conclusion, our proposed approach for analyzing pipeline fracture under multiple loads proves valuable for pipeline safety assessment, and it offers useful insights for evaluating the suitability of transportation pipelines.
Level of Adoption and Use of Knowledge Management Practices in Supply Chains
Authors: Kassaneh Tomas Cherkos , Bolisani Ettore , Scarso Enrico , Navarro Juan Gabriel Cegarra
Published: August 2023

Business competition nowadays involves entire supply chains (SCs) rather than individual firms, and companies, with appropriate ways, need to coordinate and co-manage knowledge resources, activities, and innovative efforts in collaboration with their partners for improved competitiveness. Knowledge management (KM) practices and their adoption in single firms to manage inter-firm relationships can be of great help, but the current studies on this aspect are very fragmented. There is still insufficient knowledge of what practices are adopted to manage knowledge and how intensely these are used in inter-firm relationships and especially in supply chains. This study contributes to filling this gap by measuring the level of adoption and intensity of use of KM practices in companies. Also, it provides a comparison between their use at the intra- and inter-firm level. A survey of a sample of European large- and medium-sized manufacturing firms was used. A descriptive statistical analysis and a correlation analysis were performed. The study confirms that KM practices are used in companies, but with a varied level of adoption and intensity of use among firms. Especially, it resulted that KM is less used at an inter-firm level, and there is a relatively higher variation among firms in the inter-firm use rather than the internal context. On the other hand, the correlation analysis revealed that the more intensely firms used KM internally, the more likely they will intensely employ them to manage knowledge in SC relationships. The usefulness of the study lies in the fact that improving the awareness of business managers and consultants, both at firm and inter-firm, can facilitate introduction and development of KM programs.
The Plancherel formula of Fourier integral operators: The case of Sp(1,1)
Authors: Jia Xiaoke , Fan Xingya
Published: August 2023

In this paper, we consider the Plancherel formula for Fourier integral operator on the space [Formula: see text], where [Formula: see text] is the quaternion skew field. By using the metaplectic representations of a noncompact classical dual pair [Formula: see text] and combining with the Plancherel formula of Poisson transform, we obtain the direct integral decomposition of all irreducible unitary representations of Fourier integral operator.
Practical Framework to Facilitate Constructability Implementation Using Building Information Modeling Approach: A Case Study
Authors: Samimpey Rozita , Saghatforoush Ehsan
Published: August 2023

Constructability has always been the focus of many construction firms, to bring the construction knowledge and experience into the early project phases of planning and design. However, there have always been different ideas on how to perform it in the best way and to avoid lack of knowledge of project components and constructability concept, poor coordination among project team members, and wrong estimation of time and cost result in duplications and project wastes. Improper use of multidimensional modelings in the construction process, negatively affects the success of projects. The use of new technologies has enhanced the constructability implementation. This research provides a practical framework to apply the benefits of Building Information Modeling (BIM) to fulfill the prerequisites for constructability implementation. This framework reduces project wastes and prevents errors, delays, duplications, and thus reduces project time and cost. Using BIM, all project practitioners are present from the beginning of the project, and the needs of each member and project goals are identified. A powerful database is developed to access project data at any time, which can be effective in making critical decisions. In this way, it can facilitate constructability processes. According to the existing literature reviews and the results obtained from the interviews, this study has developed a practical framework that provides some solutions to effectively meet constructability prerequisites. This is important because many of the problems of construction infrastructure projects are due to insufficient communication, lack of integration, lack of familiarity with new technologies, duplications, and lack of attention to constructability of projects.
Understanding the Development of High-Speed Rail in China
Authors: Gao Xudong , Wang Jinxiao , Wang Yi , Wang Jiarui , Yang Yacheng , Cho In Jung
Published: August 2023

In this paper, we study the key factors affecting China’s high-speed rail development using a case study methodology and following the perspective of catch-up cycles. In addition to factors such as windows of opportunities and responses identified in the extant literature, we found that the focal organization’s strategic intent is the most important driving force. Strategic intents, opportunities, and responses, all change over time. This finding has important theoretical implications, and indicates the importance of effective coordination by the focal organization in the process of catching up in complex technology systems such as high-speed rail.
Understanding Consumers’ Switching Intention from e-Commerce to Social Commerce: A Mixed Methods Study
Authors: Çeliker Orhan , Özen Üstün , Bölen Mehmet Cem
Published: August 2023

As firms continue to use social media checkout and shopping integrations, and social media platforms become primary search engines for consumers, social commerce is slowly replacing traditional e-commerce. However, there is still a limited understanding of why consumers frequently switch between e-commerce and social commerce platforms during the process by which they discover and purchase a product. This study attempts to bridge this gap by investigating the switching behavior from traditional e-commerce to social commerce at the consumer level. By following a mixed-methods approach, this study develops and empirically validates a research model derived using the push–pull–mooring framework and the findings of the exploratory study. The test results showed that the proposed research model explains a large portion (0.607%) of the variance in consumers’ switching intentions. Besides, social influence was also found to moderate the impact of push and pull factors on switching intention.
Does the metric play a fundamental role in the building of gravitational models?
Authors: Castillo-Felisola Oscar , Perdiguero Gárate José
Published: August 2023

The idea that general relativity could be an effective model, of a yet unknown theory of gravity, has gained momentum among theoretical physicists. The polynomial affine model of gravity is an alternative model of affine gravity that possesses many desirable features to pursue a quantum theory of gravitation. In this paper, we argue that such features are a consequence of the lack of a metric structure in the building of the model, even though a emergent metric could be defined. The model introduces additional degrees of freedom associated to the geometric properties of the space, which might shed light to understand the nature of the dark sector of the Universe. When the model is coupled to a scalar field, it is possible to define inflationary scenarios.
Deflection angle and light ray trajectories near M-theory black holes
Authors: Askour N. , Belhaj A. , Belmahi H. , Benali M. , El Moumni H. , Sekhmani Y.
Published: August 2023

In this paper, we investigate the deflection angle and the trajectories of the light rays near black holes in M-theory scenarios. Using the Gauss–Bonnet theorem, we first discuss the deflection angle of the light rays near four- and seven-dimensional AdS black holes derived from the M-theory compactifications on the real spheres on [Formula: see text] and [Formula: see text], respectively. Then, we examine brane number effect and the rotating parameter on such light behaviors. We finish this work by providing a study of the light ray trajectories via the equations of motion associated with [Formula: see text] and [Formula: see text]-branes.
Bianchi type-III bulk-viscous string models in scalar–tensor theory of gravitation
Authors: Jnana Prasuna Y. , Sobhanbabu Y. , Pavan Kumar N. L. , Srinivas V.
Published: August 2023

In this paper, we have investigated Bianchi type-III bulk-viscous string cosmological models in the frame-work of scalar–tensor theory of gravitation. To solve the field equations for the bulk-viscous fluid and perfect fluid under the following physically relevant conditions: (i) Expansion scalar ([Formula: see text]) in the model is directly proportional to the shear scalar ([Formula: see text]). (ii) [Formula: see text], where [Formula: see text] is a constant (iii) [Formula: see text], where [Formula: see text] and [Formula: see text] are real constants. The observed phase transition of the presented universe from the early decelerating phase to the present epoch is in good accordance with the astronomical measurements. A detailed discussion on energy conditions and stability of the all models is analyzed through graphical representation.