bluuebunny/crossref_metadata_2025 huggingface dataset:
Fake News and Cinema: film analysis in Europe and the United States
Authors: Martìn Carlos Serrano , Redondo Isaac Lòpez , Moncada Luisa Aramburu
Published: February 2024

How does cinema reflect the reality of fake news? This paper answers this question. To the existing studies on cinema and journalism we want to add, under a qualitative analysis, the following point of view: those information professionals who defend professional malpractice because it is what the public demands. We understand qualitative methodology as the action of giving the film pieces analysed the category of primary source. We understand primary sources as those in which the data come directly from the population or a sample of the population (Torres, Paz and Salazar, 2014, p. 3). In this case, we are not talking about people, but about films.The viral is present in news consumers who, despite having more capacity to communicate than ever, are victims and, at the same time, part of the problem in the rapid spread of fake news. On the one hand, the audience is a victim because their right to be informed with a quality news product is being violated. Secondly, it is also part of the problem. It is not possible for malicious information to have a strong influence on society if there is no audience to consume it. That is, without a prior critical analysis of the product they are consuming. The films analysed have shown us that the population must assume certain responsibilities in order to avoid the disastrous consequences of fake news.
Using Social Media as a Platform of Communication Between School Administration and the Local Communities to Promote Inclusive Education for Children with Special Needs
Authors: Abualrish Maryam Ahmed , Khasawneh Mohamad Ahmad Saleem
Published: February 2024

This study aimed to explore the level of using social media as a platform of communication between school administration and the local communities in Saudi Arabia schools from the parents' perspectives. The descriptive method was used as a methodology to achieve the study objectives. The study involved 265 parents of students from different academic stages and different cities in Saudi Arabia to take part in an online questionnaire of ten items, which was sent to the participants online. The results showed that the best practices of school administration in electronic communication included creating WhatsApp groups with parents for informal communication and employing Twitter and Instagram accounts as a media interface for the school. These results reveal that male parents think more slightly that school administration uses social media to communicate with the local community. The findings also indicated that the age of the parents did not affect their views because the school uses similar platforms and parents are familiar with using the social media websites regardless of their age.
Before the Court and in the Press: Newspaper Coverage of Creationism and School Prayer Movements' Legal Framing
Authors: Stobaugh James E. , Huss Sean
Published: February 2024

During the last century, social movement organizations have mobilized around what role religion should play in school. These struggles have focused on teaching creationism and evolution in the science classroom and the appropriateness of school prayer and Bible reading in public schools. Court cases like Scopes and Engel are infamous in American history, while others are much less well-known. This project explores media coverage of social movements that do not engage in typical protest activity and instead choose to operate in more institutional contexts. This paper will begin by presenting the coverage patterns of each movement across the twentieth century, illustrating how the media's focus is primarily influenced by movements either initiating legal action, being compelled to appear in court, or reacting to judicial proceedings. Next, it will present a typology of coverage that these legal-based movements received. A movement's legal framing is carried in and through the media, and sometimes, the framing is all that is reflected in media attention, making this type of reporting so attractive to movement organizations. The legal constraints over framing and legitimate actors account for some of the media exposure, which was likely to be equitable in tone and quantity to both the creationism and school prayer movements. To understand media coverage of social movements, scholars must begin to account for the cycles and patterns of coverage likely to occur when a movement ends up in court.
An Asynchronous Spiking Neural Membrane System for Edge Detection
Authors: Zhang Luping , Xu Fei , Neri Ferrante
Published: February 2024

Spiking neural membrane systems (SN P systems) are a class of bio-inspired models inspired by the activities and connectivity of neurons. Extensive studies have been made on SN P systems with synchronization-based communication, while further efforts are needed for the systems with rhythm-based communication. In this work, we design an asynchronous SN P system with resonant connections where all the enabled neurons in the same group connected by resonant connections should instantly produce spikes with the same rhythm. In the designed system, each of the three modules implements one type of the three operations associated with the edge detection of digital images, and they collaborate each other through the resonant connections. An algorithm called EDSNP for edge detection is proposed to simulate the working of the designed asynchronous SN P system. A quantitative analysis of EDSNP and the related methods for edge detection had been conducted to evaluate the performance of EDSNP. The performance of the EDSNP in processing the testing images is superior to the compared methods, based on the quantitative metrics of accuracy, error rate, mean square error, peak signal-to-noise ratio and true positive rate. The results indicate the potential of the temporal firing and the proper neuronal connections in the SN P system to achieve good performance in edge detection.
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition
Authors: Avola Danilo , Cinque Luigi , Mambro Angelo Di , Fagioli Alessio , Marini Marco Raoul , Pannone Daniele , Fanini Bruno , Foresti Gian Luca
Published: February 2024

Emotion recognition plays an essential role in human–human interaction since it is a key to understanding the emotional states and reactions of human beings when they are subject to events and engagements in everyday life. Moving towards human–computer interaction, the study of emotions becomes fundamental because it is at the basis of the design of advanced systems to support a broad spectrum of application areas, including forensic, rehabilitative, educational, and many others. An effective method for discriminating emotions is based on ElectroEncephaloGraphy (EEG) data analysis, which is used as input for classification systems. Collecting brain signals on several channels and for a wide range of emotions produces cumbersome datasets that are hard to manage, transmit, and use in varied applications. In this context, the paper introduces the Empátheia system, which explores a different EEG representation by encoding EEG signals into images prior to their classification. In particular, the proposed system extracts spatio-temporal image encodings, or atlases, from EEG data through the Processing and transfeR of Interaction States and Mappings through Image-based eNcoding (PRISMIN) framework, thus obtaining a compact representation of the input signals. The atlases are then classified through the Empátheia architecture, which comprises branches based on convolutional, recurrent, and transformer models designed and tuned to capture the spatial and temporal aspects of emotions. Extensive experiments were conducted on the Shanghai Jiao Tong University (SJTU) Emotion EEG Dataset (SEED) public dataset, where the proposed system significantly reduced its size while retaining high performance. The results obtained highlight the effectiveness of the proposed approach and suggest new avenues for data representation in emotion recognition from EEG signals.
Encrypted Image Classification with Low Memory Footprint Using Fully Homomorphic Encryption
Authors: Rovida Lorenzo , Leporati Alberto
Published: February 2024

Classifying images has become a straightforward and accessible task, thanks to the advent of Deep Neural Networks. Nevertheless, not much attention is given to the privacy concerns associated with sensitive data contained in images. In this study, we propose a solution to this issue by exploring an intersection between Machine Learning and cryptography. In particular, Fully Homomorphic Encryption (FHE) emerges as a promising solution, as it enables computations to be performed on encrypted data. We therefore propose a Residual Network implementation based on FHE which allows the classification of encrypted images, ensuring that only the user can see the result. We suggest a circuit which reduces the memory requirements by more than [Formula: see text] compared to the most recent works, while maintaining a high level of accuracy and a short computational time. We implement the circuit using the well-known Cheon–Kim–Kim–Song (CKKS) scheme, which enables approximate encrypted computations. We evaluate the results from three perspectives: memory requirements, computational time and calculations precision. We demonstrate that it is possible to evaluate an encrypted ResNet20 in less than five minutes on a laptop using approximately 15[Formula: see text]GB of memory, achieving an accuracy of 91.67% on the CIFAR-10 dataset, which is almost equivalent to the accuracy of the plain model (92.60%).
The evolution and robustness analysis of global soybean trade network
Authors: Ma Jinlong , Zhao Pengfei , Feng Jiale , Pang Huawei , Cai Mingwei , Zhao Yongbin
Published: February 2024

In recent years, the frequent occurrence of extreme weather and national conflicts has highlighted the necessity of enhancing the robustness of the grain trade network. In this paper, we study the evolution of major trading countries, and the network robustness under random and different attack strategies. The results show that the heterogeneity of the Global Soybean Trade Network (GSTN) and trade connections among countries are increasing. The soybean trade network has strong resistance to random attacks, while subjected to targeted attacks, the stability of the network is significantly affected and damaged.
Splitting morphology of low-viscous finger at different junctions of microchannels
Authors: Singh Akhileshwar , Singh Deepak Kumar , Singh Yogesh , Pandey Krishna Murari
Published: February 2024

This paper reports the splitting morphology of low-viscous fingers in the microchannels that are associated with flat T-shaped, curved T-shaped, and Y-shaped junctions. The numerical simulations are based on the finite volume approach and the volume of the fluid model. In this study, microchannels are filled with silicon oil. Perfluorodecalin is used to displace silicon oil from the microchannels. Due to viscosity differences, the low-viscous finger (LVF)-shaped instability evolves at the interface of fluids. A single LVF propagates in the parent channel, and at the junction, it splits into two identical LVFs. It is noted that the splitting morphology of LVF depends upon the shape of the junction and its wettability. Therefore, there are three different junctions, i.e. flat T-shaped, curved T-shaped, and Y-shaped, with three different wettability conditions [Formula: see text], i.e. hydrophilic ([Formula: see text]), hydrophobic ([Formula: see text]), and superhydrophobic ([Formula: see text]) are used for numerical investigation. It is found that a LVF splits symmetrically at all three different junctions but tips of LVFs are found to be convex in superhydrophobic conditions. The LVFs-shaped are curved in the limbs of curved T-shaped microchannel and straight in the limbs of flat T-shaped and Y-shaped microchannels. The findings of this paper may be used in lung biomechanics, respiratory diseases, biochemical testing, and many more.
Phase transition and universality of the majority-rule model on complex networks
Authors: Mulya Didi Ahmad , Muslim Roni
Published: February 2024

In this paper, we investigate the phenomena of order-disorder phase transition and the universality of the majority-rule model defined on three complex networks, namely the Barabási–Albert, Watts–Strogatz and Erdős–Rényi networks. Assume each agent holds two possible opinions randomly distributed across the networks’ nodes. Agents adopt anticonformity and independence behaviors, represented by the probability p, where with a probability p, agents adopt anticonformity or independence behavior. Based on our numerical simulation results and finite-size scaling analysis, it is found that the model undergoes a continuous phase transition for all networks, with critical points for the independence model greater than those for the anticonformity model in all three networks. We obtain critical exponents identical to the opinion dynamics model defined on a complete graph, indicating that the model exhibits the same universality class as the mean-field Ising model.
Deconfinement to confinement by generalizing BRST symmetry on the sphere
Authors: Raval Haresh
Published: February 2024

Recently, it has been shown that the theory in the quadratic gauge on 4-sphere, [Formula: see text] consists of two phases namely, the confined and the deconfined phases. A suitable finite field-dependent Becchi–Rouet–Stora–Tyutin (FFBRST) transformation interrelates two different gauge fixed theories. In this paper, we use the FFBRST technique on the curved space for the first time and elaborate a novel application of it. We propose two different formulations of this technique that transform the deconfined phase action on sphere to the confined phase action on sphere inside the quadratic gauge. Both proposed passages change the phase with BRST invariance to the phase without BRST invariance unlike usual connections where the FFBRST operation leaves the BRST symmetry intact and there is a unique field theoretic essence of them, which makes them particularly important to study. Thus, the two different field redefinitions act as a new mechanism that execute phase transition between two real QCD phases on 4-sphere other than ghost condensation process.
Invariant differential operators for noncompact Lie groups: The Sp(n,1) case
Authors: Aizawa N. , Dobrev V. K.
Published: February 2024

In this paper, we continue the project of systematic construction of invariant differential operators (IDOs) on the example of the noncompact algebras [Formula: see text]. Our choice of these algebras is motivated by the fact that they belong to a narrow class of algebras, which are of split rank one, of which class the other cases were studied, some long time ago. We concentrate on the case [Formula: see text]. We give the main multiplets and the main reduced multiplets of indecomposable elementary representations (ER) for, including the necessary data for all relevant invariant differential operators. We also present explicit expressions for the singular vectors and the intertwining differential operators.
Effective Document Image Rectification via a Deep Learning Framework
Authors: Lin Hsiau-Wen , Lin Hwei Jen , Tsai Yihjia , Tokuyama Yoshimasa , Kong Chou-Wei
Published: February 2024

This paper proposes an efficient method for rectifying distorted document images via deep learning, ultimately improving the legibility of graphics and text in documents. The framework comprises two interconnected UNets, working in tandem to predict a 3D coordinate map and a forward map for the input distorted document image, respectively. At the beginning of the process, a page mask is predicted and used as input to both U-Nets to help improve the performance of their tasks. In the last step, the predicted forward map is transformed into a corresponding backward map, which is utilized to rectify the distorted image. The experimental results not only reveal that the predicted page masks and 3D coordinate maps significantly enhance the accuracy of predicting forward maps for subsequent rectification but also demonstrate satisfactory results both globally and locally.
A Proactive Self-Adaptation Approach Based on Ensemble Prediction for Service-Based Systems
Authors: Xie Shenglong , Wang Lu , Li Qingshan , Guo Xiangtian
Published: February 2024

Service-based systems (SBSs) are a unique category of software systems that dynamically combine various third-party services at runtime to deliver complex and adaptive functionality. This dynamic composition introduces a high level of unpredictability and uncertainty, creating potential anomalies and exerting significant pressure on system maintenance. To tackle this challenge, the conventional approach involves employing prediction-based proactive self-adaptation. Despite the prevalence of existing approaches emphasizing prediction accuracy, the critical aspect of “earliness” in predictions is often overlooked. Striking a balance between early and accurate predictions is paramount in practice. In response, we propose Proactive Self-Adaptation based on Ensemble Prediction (PSA-EP) to effectively balance the trade-off between the prediction earliness and accuracy of in SBSs. At the heart of PSA-EP lies an ensemble prediction model built upon a deep neural network and an enhanced long short-term memory (DNN-ELSTM) architecture. PSA-EP is crafted to empower SBSs to adapt to the inherent unpredictability and instability, facilitating the achievement of their adaptation goals. This adaptation mechanism not only enables effective prediction and analysis of adaptation goal violations but also addresses the reliability and performance of service level agreements (SLAs) governing quality of service (QoS). We evaluated the performance of PSA-EP in a decentralized tele-assistance system using four key metrics, and the experimental results, examined from various perspectives, underscore its exceptional performance.
Leveraging Variable Density Honeycomb Structures for Innovative Design in Mission-Critical Embedded Devices
Authors: Yan Xi , Pang Song , Zhou Naixun , Pang Bowen , Peng Bei , Zeng Zhi
Published: February 2024

The imperative for lightweighting technologies, paramount in mission-critical cyber-physical systems (CPSs) including aerospace, automotive and allied sectors, hinges upon optimizing energy efficiency and curbing product weight. Honeycomb structures, celebrated for their exceptional strength-to-weight ratio, have indisputably guided the pursuit of lightweight design. This paper expounds upon the versatility of honeycomb structures by scrutinizing their in-plane mechanical attributes. Leveraging finite element simulations and polynomial fitting, we enhance the prevailing equivalent elastic modulus model for uniform honeycomb structures, expanding its domain to encompass a broader spectrum of relative density values. Deliberations ensue concerning the model’s constraints and its inapplicability to nonuniform honeycomb structures. The investigation introduces nodes as pivotal influencers in the mechanical comportment of nonuniform honeycomb structures, delineating the nexus between the equivalent elastic modulus and node dimensions through a fusion of finite element simulations and mechanical experimentation. Furthermore, this research delves into the tenets and constructs of density-based variable density methodologies within the ambit of topology optimization, with an overarching goal of maximizing stiffness. We furnish a holistic design protocol for optimizing honeycomb structures, underscored by a pragmatic instantiation of the density-based variable density approach. Scrutinizing the geometric interplay between honeycomb structures and design spaces, we posit an innovative paradigm employing concentric circles to approximate cellular envelopes, streamlining numerical cartography and the conversion of optimization outputs into variable density honeycomb configurations. Evaluation of the in-plane mechanical attributes of variable density honeycomb structures reveals that TPU material augments the resilience of both uniform and variable density honeycomb structures, whereas topology optimization amplifies specific stiffness and resilience modulus in variable density honeycomb structures relative to their uniform counterparts. This study sheds light on the complexities of honeycomb structures, providing valuable insights for their optimization in lightweight applications.
A Deep Neural Network-Fused Mathematical Modeling Approach for Reliable Flight Control of Small Unmanned Aerial Vehicles
Authors: Xu Gang , Su Weibin , Pan Mingbo , Wang Yikai , He Zhengfang , Dong Jiarui , Zhao Jiangzheng
Published: February 2024

In order to ensure the flight safety of small unmanned aerial vehicles (UAVs), a deep neural network-fused mathematical modeling approach is put up for reliable flight control of small UAVs. First, engine torque, thrust eccentricity and initial stop angle are taken into full consideration. A six-degree-of-freedom nonlinear model is formulated for small UAVs, concerning both ground taxiing and air flight status. Then, the model was linearized using the principle of small disturbances. The linearized model expressions for both ground taxiing and air flight were provided. In addition, radial basis function neural networks are used for online approximation to address the nonlinearity and uncertainty caused by changes in aircraft aerodynamic parameters. At the same time, to compensate for the external disturbance and the approximation error of the neural network, the system robustness is improved by selecting reasonable design parameters. This helps the whole flight control system obtain better tracking control performance. At last, some simulation experiments are carried out to evaluate the performance of the proposed mathematical modeling framework. The simulation results show that the proposal has stronger convergence ability, smaller prediction error, and better performance. Thus, proper proactivity can be acknowledged.
Impact of Variability on Novel Transistor Configurations in Adder Circuits at 7nm FinFET Technology
Authors: Mushtaq Umayia , Akram Md. Waseem , Prasad Dinesh , Islam Aminul , Nagar Bal Chand
Published: February 2024

This research work focuses on implementation of the FinFET-based complementary metal-oxide-semiconductor (CMOS) Full Adder circuits for different transistor configurations using ASAP7 FinFET model. First, this work examines FinFET-based AND-OR-invert (AOI) gates using different topologies, and second, a FinFET-based CMOS Full Adder circuit at the 7[Formula: see text]nm technology node is analyzed with respect to its process, voltage and temperature (PVT) variability effect measured in terms of the normalized standard deviation of different performance metrics. The comparison is made between conventional (CFFA1) and proposed (FFA2, FFA3, FFA4, FFA5, FFA6, FFA7 and FFA8) FinFET-based CMOS full adder circuits. The aim is to determine the optimal design configuration of the FinFET full adder circuit with the minimum impact of PVT variability. On examining the power delay product (PDP) variability, it is found that variations in FFA2, FFA3, FFA4, FFA5, FFA6, FFA7 and FFA8 are significantly lower than CFFA1 by 6.30%, 4.68%, 10.30%, 65.48%, 68.05%, 65.61% and 17.20%, respectively. Among all the proposed configurations, normalized standard deviation [Formula: see text] for the PDP metric is lowest in FFA6, followed by FFA7, FFA5, FFA8, FFA4, FFA2 and FFA3. The normalized standard deviation [Formula: see text] for power dissipation, however, is lowest in FFA8. In addition, a layout comparison analysis of conventional and proposed full adder circuits reveals that FFA7 has the least area, followed by FFA8, FFA6, FFA5, FFA3, FFA4, FFA2 and CFFA1. The area of FFA2, FFA3, FFA4, FFA5 and FFA6 has decreased by 3.29%, 3.51%, 3.50%, 5.14% and 5.52%, while FFA7 and FFA8 have experienced a decrease in area by 13.87% and 14.36%, respectively, as compared to conventional CFFA1. The proposed layout of FinFET-based CMOS Full Adders can be directly transferred into the foundry’s production line for manufacturing purposes. The overall investigation led us to conclude that FFA8 is the most efficient of all due to the lowest power variation, lower delay variation and lower PDP variation, moreover it has a reduced layout area among all the discussed designs. However, there is a tradeoff in terms of penalty in nominal power, propagation delay and PDP in the proposed topologies.
Time Domain and Area Efficient Smart Temperature Sensor Exploiting Channel Length Modulation Coefficient
Authors: Chakraborty Kuntal , Majumder Alak , Mondal Abir J
Published: February 2024

This work suggests an all-digital temperature sensor with a high sampling rate that is based on a time-to-digital converter (TDC). Two on-chip voltage-controlled oscillators (VCOs) are used in the design of the sensor core, which senses temperatures between [Formula: see text]C and 200[Formula: see text]C. For digital code conversion, the outputs of the VCO are fed into two asynchronous counters. In both low- and high- resolution modes, the error following two-point calibration is observed between [Formula: see text]C and [Formula: see text]C. The sensor’s ability to function in both high- and low-resolution modes based on conversion time is an important feature. At a sampling frequency of 0.19[Formula: see text]MHz, the maximum resolution achieved is 0.18[Formula: see text]C. Additionally, the sensor has control logic built in to turn off the sensing as soon as the conversion is complete. At 90-nm process, 1.1[Formula: see text]V supply voltage and 27[Formula: see text]C, the proposed sensor occupies [Formula: see text] and consumes [Formula: see text].
Dialogue Generation Model with Hierarchical Encoding and Semantic Segmentation of Dialogue Context
Authors: Wei Xiao , Lin Yidian , Hu Qitao
Published: February 2024

Dialogue generation, as a crucial subtask of dialogue systems, is garnering increasing attention in the field of Natural Language Processing (NLP). The success of dialogue generation relies on effectively utilizing context information to ensure coherent and diverse responses. However, current approaches heavily rely on external sources rather than leveraging the inherent dialogue content. We propose a new approach to address this challenge by introducing semantic segmentation from the field of image processing into NLP. Our contribution lies in the development of a Dialogue Generation model with Hierarchical Encoding and Semantic segmentation of dialogue Context, which is called DGHESC. This model is topic and speaker-aware, capturing the flow of topic and speaker information within the dialogue context using a hierarchical transformer-based framework. Specifically, we extract semantic information at the word-level for each utterance, segment the dialogue context based on topic and speaker semantics, and employ attention mechanisms to model the context at the utterance-level. Experimental results on two open-domain datasets demonstrate the effectiveness of DGHESC. It enhances response quality and achieves state-of-the-art performances on the datasets.
Multi-Intent Inline Code Comment Generation via Large Language Model
Authors: Zhang Xiaowei , Chen Zhifei , Cao Yulu , Chen Lin , Zhou Yuming
Published: February 2024

Code comment generation typically refers to the process of generating concise natural language descriptions for a piece of code, which facilitates program comprehension activities. Inline code comments, as a part of code comments, are also crucial for program comprehension. Recently, the emergence of large language models (LLMs) has significantly boosted the performance of natural language processing tasks. This naturally inspires us to explore the performance of the LLMs in the task of inline code comment generation. To this end, we evaluate open-source LLMs on a large-scale dataset and compare the results with the current state-of-the-art methods. Specifically, we explore the model performance in the following scenarios based on the widely used evaluation metrics (i.e. BLEU, Meteor, and ROUGE-L): (1) generation with simple instruction; (2) few-shot-guided generation with random examples selected from the database; (3) few-shot-guided generation with similar examples selected from the database; and (4) adopt the re-ranking strategy for the output of LLMs. Our findings reveal that: (1) under the simple instruction scenario, LLMs could not fully show the potential in the task of inline comment generation compared to the state-of-the-art models; (2) random few-shot leads to a slight improvement; (3) similar few-shot and re-ranking strategy could significantly enhance the performance of LLMs; and (4) for inline comment and code snippet pairs with different intents, why category achieves the best performance and what category achieves relatively poorer performance. That remains consistent across all four scenarios. Our findings shed light on future research directions for using LLMs in inline comment generation tasks.
Noncommutative effects on wormholes in Rastall–Rainbow gravity
Authors: Pradhan Anirudh , Islam Safiqul , Zeyauddin M. , Banerjee Ayan
Published: February 2024

In this paper, we explore the physical properties and characteristics of static, spherically symmetric wormholes in the background of Rastall–Rainbow gravity. The Rastall–Rainbow gravity theory has recently been proposed as a combination of two theories, namely, the Rastall theory and the Rainbow description. We implemented noncommutativity by adopting two different distributions of energy density (Gaussian and Lorentzian) in the Morris and Thorne metric. We solve the field equations analytically and discuss all the properties of wormholes depending on the two model parameters. Notably, for specific parameter ranges, one can alleviate the violation of the WEC at the throat and its neighborhood.
The single-cycle biphotons generated by SPDC in chirped QPM PPKTP crystal
Authors: Wang Jinbao , Lin Haibo
Published: February 2024

In this paper, we have studied the process of monochromatic pump light in linearly chirped Periodically Poled [Formula: see text] (PPKTP) nonlinear crystal to generate single-cycle biphotons under Quasi-Phase-Matching (QPM) conditions through a Spontaneous Parametric Down-Conversion (SPDC). A detailed analysis of the phase mismatching function reveals that in PPKTP crystals, for the proper frequency range, the phase mismatching [Formula: see text] is stable and relatively close to 0 due to the relatively stable refractive index, and therefore has a good phase matching effect. Even when the chirp rate becomes small, it is able to produce single-cycle biphotons due to the near-perfect phase matching. Of course, as the chirp rate increases, the frequency response range becomes wider, the temporal width is narrower, and the number of cycles is smaller.
Novel polymorph of 2-amino-6-methyl pyridinium-4-methyl benzoate (2A6MP4MB) single crystals: Synthesis, crystal structure, optical, spectroscopic and self-defocusing capabilities for nonlinear optical applications
Authors: Lakshmi S. , Saravanan M.
Published: February 2024

By using the slow evaporation solution growth technique, the 2-amino 6-methyl pyridinium 4-methyl benzoate (2A6MP4MB) is crystallized in a single, high-quality crystal. Single crystal X-ray diffraction (SXRD) was used to determine the crystal structure. The different functional groups of the substances were identified using Fourier Transform Infrared Spectroscopy (FTIR) analysis. The 2A6MP4MB crystal exhibits a significant optical transmittance throughout the complete visible spectrum and a lowered UV cutoff wavelength, according to studies conducted using UV-Vis spectrometers. The optical band gap energy (Eg) of a single crystal of 2A6MP4MB is 4.768[Formula: see text]eV. The compound’s photoluminescence (PL) spectrum in the title illustrates the green emission technique. We analyze the produced single crystal’s dielectric tensorial behavior at various frequencies. The produced 2A6MP4MB crystal’s third-order susceptibility, nonlinear refraction, and nonlinear absorption coefficient were evaluated using the [Formula: see text]-scan technique. A Vickers hardness tester was used to assess the created crystal’s mechanical stability.
Martin’s conjecture for regressive functions on the hyperarithmetic degrees
Authors: Lutz Patrick
Published: February 2024

We answer a question of Slaman and Steel by showing that a version of Martin’s conjecture holds for all regressive functions on the hyperarithmetic degrees. A key step in our proof, which may have applications to other cases of Martin’s conjecture, consists of showing that we can always reduce to the case of a continuous function.
Experimental Study on the Mechanical Properties of Nylon Fabric-Reinforced Elastomeric Isolators (N-FREIs)
Authors: Wu Yifeng , Fan Kai , Li Aiqun , Sha Ben , Si Mingfei , Lu Song , Wang Hao
Published: February 2024

In recent decades, carbon fiber, glass fiber, polyester and Kevlar fiber have been utilized to replace the steel shims in conventional steel-reinforced elastomeric isolators (SREIs). This study chose nylon fabrics owing to their extreme low cost, low elastic modulus and good adhesion to rubber, and nine nylon fabric-reinforced elastomeric isolators (N-FREIs) were manufactured with different design parameters. Compression and compression shear tests were, respectively, conducted to investigate the mechanical properties together with their influential factors of the N-FREIs. Results show that the vertical load-carrying capacity of the isolator is high enough to sustain a compressive stress of 10[Formula: see text]MPa without visible damage. The compressive stiffness of N-FREI is much smaller than that of SREI, and the vertical damping ratio under cyclic compression reaches up to 7%. In the compression shear tests, the shear stiffness of the isolator first decreases and then increases as the shear strain increases within 300%, and the equivalent damping ratio varies between 9% and 14% for different sizes of the isolator. Additionally, due to the flexibility and extensibility of the low modulus nylon fabric, both vertical and horizontal stiffness decrease a bit with an increase in the number of fabric layers. Finally, a formula for calculating the horizontal stiffness of N-FREI is proposed, it provides a comprehensive mathematical model to predict the behavior of the N-FREI under horizontal shear conditions.
Vibration Control Effect Analysis of PTMD in Wind Turbine Tower Under Multi-Hazard Action of Earthquake and Vortex-Induced Wind
Authors: Zhao Shengqiang , Lu Zheng , Fan Qiaoqiao , Dai Kaoshan
Published: February 2024

Considering the importance of wind turbine tower, its vibration under multi-hazard action consisting of vortex-induced load and seismic load needs to be controlled, especially as the height of the wind turbine tower increases, it increases the risk of its higher-order vibration. To address this issue, theoretical equations for vortex-induced load based on the governing equation of particle damping system are put forward, the vibration control of a 1/20 scale wind turbine model is studied, and the experimental and numerical analyses are conducted. Many studies have shown that wind turbine tower equipped with tuned mass damper (TMD) can result in an RMS response reduction ratio ranging from 20% to 40%. Compared to TMD, particle tuned mass damper (PTMD) has better vibration control effect under single seismic load, and still achieves good vibration control ability with a maximum RMS (root–mean–square) reduction ratio of 35.55% under multi-hazard action. Furthermore, MPTMD (multiple particle tuned mass damper) is proposed for controlling higher-order vibration mode, achieving a maximum RMS reduction ratio of 65.93%. Combining the spectrum diagram result, the ability to control higher-order mode vibration of MPTMD is confirmed.
Investigation of ID-derivations of finite-dimensional nilpotent Lie algebras
Authors: Moosavinejad Seyed Mahdi , Saeedi Farshid
Published: February 2024

Let [Formula: see text] be a Lie algebra and let [Formula: see text] be the set of all derivations of [Formula: see text]. Then the derivation [Formula: see text] of [Formula: see text] is called an ID-derivation if [Formula: see text] for all [Formula: see text]. The set of all ID-derivations is denoted by [Formula: see text]. Let [Formula: see text] be the set of all central derivations and let [Formula: see text] and [Formula: see text] be, respectively, the set of all center derivations and ID-derivations that map [Formula: see text] to zero. In this paper, we verify relations between [Formula: see text] and [Formula: see text] with [Formula: see text] and [Formula: see text]. Also, we prove that if [Formula: see text] is a nilpotent Lie algebra of class [Formula: see text], then [Formula: see text] is a nilpotent Lie algebra of class [Formula: see text].
Superpower graphs of finite groups
Authors: Kumar Ajay , Selvaganesh Lavanya , Cameron Peter J , Tamizh Chelvam T.
Published: February 2024

For a finite group [Formula: see text] the superpower graph [Formula: see text] of [Formula: see text] is an undirected simple graph with vertex set [Formula: see text] and two vertices are adjacent in [Formula: see text] if and only if the order of one divides the order of the other in [Formula: see text]. The aim of this paper is to provide tight bounds for the vertex connectivity, discuss Hamiltonian-like properties of superpower graph of finite non-Abelian groups having an element of exponent order.

We also give some general results about superpower graphs and their relation to other graphs such as the Gruenberg–Kegel graph.
On computing finite index subgroups of PSL2(ℤ)
Authors: Uruburu Nicolás Mayorga , Pacetti Ariel , Vendramin Leandro
Published: February 2024

We present a method to compute finite index subgroups of PSL2(ℤ). Our strategy follows Kulkarni’s ideas, the main contribution being a recursive method to compute bivalent trees as well as their automorphism groups. As a concrete application, we compute all subgroups of index up to [Formula: see text]. We then use this database to produce tables with several arithmetical properties.
Left and right hybrid (b,c)-core inverses in semigroups with involution
Authors: Zhu Huihui , Hong Chenxiang , Mosić Dijana
Published: February 2024

Let [Formula: see text] be a unital ∗-semigroup and let [Formula: see text]. The goal of this paper is to introduce two new classes of generalized inverses, called the left hybrid [Formula: see text]-core inverse and the right hybrid [Formula: see text]-core inverse. An element [Formula: see text] is left hybrid [Formula: see text]-core invertible if there exists some [Formula: see text] such that [Formula: see text], [Formula: see text] and [Formula: see text]. Such an [Formula: see text] is called a left hybrid [Formula: see text]-core inverse of [Formula: see text]. Several criteria and properties for the left hybrid [Formula: see text]-core inverse are given. Among these, it is shown that [Formula: see text] is left hybrid [Formula: see text]-core invertible if and only if [Formula: see text] is left hybrid [Formula: see text]-invertible and [Formula: see text] is [Formula: see text]-invertible if and only if [Formula: see text] is left hybrid [Formula: see text]-invertible. The right hybrid [Formula: see text]-core inverse of [Formula: see text] is defined by the existence of [Formula: see text] satisfying [Formula: see text], [Formula: see text] and [Formula: see text]. Dual results for the right hybrid [Formula: see text]-core inverse are also demonstrated.
On finite groups with weakly σ-normal subgroups
Authors: Tang Juping , Ji Jiuzhou , Yang Nanying
Published: February 2024

Let [Formula: see text] be a finite group and [Formula: see text]=[Formula: see text] some partition of the set of all primes. A subgroup [Formula: see text] of [Formula: see text] is said to be [Formula: see text] [Formula: see text]-[Formula: see text] in [Formula: see text] if there exists a [Formula: see text]-subnormal subgroup [Formula: see text] of [Formula: see text] such that [Formula: see text] and [Formula: see text], where [Formula: see text] is either [Formula: see text]-permutably embedded or [Formula: see text]-semipermutable in [Formula: see text]. In this paper, we investigate the influence of weakly [Formula: see text]-normal subgroups on the structure of finite groups.
Non-ergodic linear convergence property of the delayed gradient descent under the strongly convexity and the Polyak–Łojasiewicz condition
Authors: Choi Hyung Jun , Choi Woocheol , Seok Jinmyoung
Published: February 2024

In this work, we establish the linear convergence estimate for the gradient descent involving the delay [Formula: see text] when the cost function is [Formula: see text]-strongly convex and [Formula: see text]-smooth. This result improves upon the well-known estimates in [Y. Arjevani, O. Shamir and N. Srebro, A tight convergence analysis for stochastic gradient descent with delayed updates, Proc. Mach. Learn. Res. 117 (2020) 111–132; S. U. Stich and S. P. Karimireddy, The error-feedback framework: Better rates for SGD with delayed gradients and compressed updates, J. Mach. Learn. Res. 21(1) (2020) 9613–9648] in the sense that it is non-ergodic and is still established in spite of weaker constraint of cost function. Also, the range of learning rate [Formula: see text] can be extended from [Formula: see text] to [Formula: see text] for [Formula: see text] and [Formula: see text] for [Formula: see text], where [Formula: see text] is the Lipschitz continuity constant of the gradient of cost function. In a further research, we show the linear convergence of cost function under the Polyak–Łojasiewicz[Formula: see text](PL) condition, for which the available choice of learning rate is further improved as [Formula: see text] for the large delay [Formula: see text]. The framework of the proof for this result is also extended to the stochastic gradient descent with time-varying delay under the PL condition. Finally, some numerical experiments are provided in order to confirm the reliability of the analyzed results.
A new matrix representation for the Heisenberg group
Authors: Chen Qiuhui , Cao Feilong
Published: February 2024

For any parameter vector [Formula: see text] in [Formula: see text], the representation matrix [Formula: see text] of the Heisenberg group [Formula: see text] is extended to a new form [Formula: see text] with nonsingular matrices [Formula: see text] which are related to the directional translation [Formula: see text], directional modulation [Formula: see text] and dilation [Formula: see text] if [Formula: see text], the identity matrix of order [Formula: see text]. In the case [Formula: see text], an intrinsic group structure under the matrix [Formula: see text] is investigated and a unitary operator representation is offered.
Integrating pharmacophore model and deep learning for activity prediction of molecules with BRCA1 gene
Authors: Hadiby Seloua , Ben Ali Yamina Mohamed
Published: February 2024

In this paper, we propose a novel approach for predicting the activity/inactivity of molecules with the BRCA1 gene by combining pharmacophore modeling and deep learning techniques. Initially, we generated 3D pharmacophore fingerprints using a pharmacophore model, which captures the essential features and spatial arrangements critical for biological activity. These fingerprints served as informative representations of the molecular structures. Next, we employed deep learning algorithms to train a predictive model using the generated pharmacophore fingerprints. The deep learning model was designed to learn complex patterns and relationships between the pharmacophore features and the corresponding activity/inactivity labels of the molecules. By utilizing this integrated approach, we aimed to enhance the accuracy and efficiency of activity prediction. To validate the effectiveness of our approach, we conducted experiments using a dataset of known molecules with BRCA1 gene activity/inactivity from diverse sources. Our results demonstrated promising predictive performance, indicating the successful integration of pharmacophore modeling and deep learning. Furthermore, we utilized the trained model to predict the activity/inactivity of unknown molecules extracted from the ChEMBL database. The predictions obtained from the ChEMBL database were assessed and compared against experimentally determined values to evaluate the reliability and generalizability of our model. Overall, our proposed approach showcased significant potential in accurately predicting the activity/inactivity of molecules with the BRCA1 gene, thus enabling the identification of potential candidates for further investigation in drug discovery and development processes.
A novel quantum multiparty blind signature scheme based on χ state
Authors: Wei Xingjia , Luo Shuangshuang , Meng Depeng , Lu Dianjun , Li Zhihui
Published: February 2024

Quantum digital signature, as an extension of classical digital signature, has become an important research content in quantum cryptography. Quantum blind signature combines the advantages of classical blind signature and quantum signature, which can ensure the unconditional security of the scheme based on the realization of the blinded signature of the message, and can be effectively applied in many real-world scenarios. This paper uses the four-particle [Formula: see text] state as a communication channel, combined with quantum teleportation technology to propose a new quantum multi-party blind signature protocol, which has the following characteristics: First, the Toeplitz hash function based on the linear shift register is introduced to blind the message, and the length of the blinded message can be adjusted according to the actual demand to increase the flexibility of the scheme; Second, through multi-party participation, the blind signature of multi-bit messages can be realized, and the signature efficiency can be improved. Compared with other quantum blind signatures, the signature efficiency has been greatly improved; Finally, using the four-particle [Formula: see text] state as a quantum channel can make the scheme use fewer resources to transmit data and increases the security of the scheme. Through security analysis, it can be seen that the scheme has blindness, nonrepudiation and unforgeability.
Communities of quantum technologies: Stakeholder identification, legitimation and interaction
Authors: Umbrello Steven , Seskir Zeki C. , Vermaas Pieter E.
Published: February 2024

This paper focuses on stakeholder identification as per the value sensitive design (VSD) approach applied to the context of quantum technologies (QT) and contributes to a better understanding of the complex and dynamic nature of the QT landscape. We provide two comprehensive lists of stakeholders as starting points for VSD researchers and practitioners. These lists encompass a diverse range of organizations, including private companies, government agencies, NGOs, partnerships and professional/trade organizations. Our aim is to facilitate the recognition, legitimation and understanding of stakeholder interactions in the development of QT. These stakeholder lists lay a foundation for designing and implementing policies and strategies that promote the ethical and responsible development of QT, considering the values and interests of various stakeholders. Furthermore, these lists enable empirical and technical studies on specific QT innovations using an ethics-by-design approach like VSD.