bluuebunny/crossref_metadata_2025 huggingface dataset:
First Direct Imaging of a Kelvin–Helmholtz Instability by PSP/WISPR
Authors: Paouris Evangelos , Stenborg Guillermo , Linton Mark G. , Vourlidas Angelos , Howard Russell A. , Raouafi Nour E.
Published: March 2024

We present a comprehensive analysis aimed at proving the hypothesis that a train of small-scale features observed by the Wide-field Imager (WISPR) onboard the Parker Solar Probe (PSP) are the signature of a Kelvin–Helmholtz instability (KHI). These features were seen near the flank of a Coronal Mass Ejection (CME) wake between 7.5 R
⊙ and 9.5 R
⊙, lasting for about 30 minutes. The CME was a slow event, associated with a streamer blowout. We analyzed the size of the eddies and found growth during their evolution while maintaining separation distances and alignment typical of Kelvin–Helmholtz vortexes. We then assessed the magnetic field conditions that would make the observation of such an instability plausible. Two methods were used to cross-check our findings. The measured thickness of the boundary layer supports KHI candidacy, and the estimated linear growth rate suggests nonlinear saturation within the expected timescale. We conclude that a KHI is a plausible explanation for the observed features, and therefore that such instabilities might exist in the low and middle solar corona (within ∼15 R
⊙) and can be detected in white light observations. Their observation, however, might be rare due to stringent conditions like the observer’s proximity, suitable viewing circumstances, magnetic field topology, and flow properties. This study highlights the unique capability of PSP/WISPR in observing such phenomena, especially as PSP perihelia reach closer distances to the Sun.
A Modeling Investigation for Solar Flare X-Ray Stereoscopy with Solar Orbiter/STIX and Earth-orbiting Missions
Authors: Jeffrey Natasha L. S. , Krucker Säm , Stores Morgan , Kontar Eduard P. , Saint-Hilaire Pascal , Battaglia Andrea F. , Hayes Laura , Collier Hannah , Veronig Astrid , Su Yang , Tadepalli Srikar Paavan , Xia Fanxiaoyu
Published: March 2024

The Spectrometer/Telescope for Imaging X-rays (STIX) on board Solar Orbiter (SolO) provides a unique opportunity to systematically perform stereoscopic X-ray observations of solar flares with current and upcoming X-ray missions at Earth. These observations will produce the first reliable measurements of hard X-ray (HXR) directivity in decades, providing a new diagnostic of the flare-accelerated electron angular distribution and helping to constrain the processes that accelerate electrons in flares. However, such observations must be compared to modeling, taking into account electron and X-ray transport effects and realistic plasma conditions, all of which can change the properties of the measured HXR directivity. Here, we show how HXR directivity, defined as the ratio of X-ray spectra at different spacecraft viewing angles, varies with different electron and flare properties (e.g., electron angular distribution, highest-energy electrons, and magnetic configuration), and how modeling can be used to extract these typically unknown properties from the data. Finally, we present a preliminary HXR directivity analysis of two flares, observed by the Fermi Gamma-ray Burst Monitor and SolO/STIX, demonstrating the feasibility and challenges associated with such observations, and how HXR directivity can be extracted by comparison with the modeling presented here.
Relative Yield of Thermal and Nonthermal Emission during Weak Flares Observed by STIX during 2021 September 20–25
Authors: Awasthi Arun Kumar , Mrozek Tomasz , Kołomański Sylwester , Litwicka Michalina , Stęślicki Marek , Kułaga Karol
Published: March 2024

The disparate nature of the thermal–nonthermal energy partition during flares, particularly during weak flares, is still an open issue. Following the Neupert effect, quantifying the relative yield of X-ray emission in different energy bands can enable the inferring of the underlying energy release mechanism. During 2021 September 20–25, the Solar Orbiter mission—being closer to the Sun (∼0.6 au) and having a moderate separation angle (<40°) from the Sun–Earth line—offered a unique opportunity to analyze multiwavelength emission from ∼200 (mostly weak) flares, commonly observed by the Spectrometer Telescope for Imaging X-rays (STIX), STEREO-A, GOES, and the Solar Dynamics Observatory. Associating the quotient (q

f
) of hard X-ray fluence (12–20 keV) and soft X-ray flux (4–10 keV) with the peak soft X-ray flux enabled us to identify strongly nonthermal flares. A multiwavelength investigation of spectral and imaging-mode observations of the 20 strongly nonthermal weak flares reveals an inverse relationship of q

f
with the emission measure (and density), and a positive relationship with the flare plasma temperature. This indicates that the plasma in tenuous loops attains higher temperatures compared to that in the denser loops, in response to nonthermal energy deposition. This is in agreement with the plasma parameters of the coronal loops, as derived by applying the one-dimensional Palermo–Harvard hydrodynamical code to coronal loop plasma with different initial coronal loop base pressures when subjected to similar heating inputs. Our investigation, therefore, indicates that the plasma parameters of the flaring loop in the initial phase have a decisive role in the thermal–nonthermal energy partitioning.
Different Dependence of Narrow Hα Line Luminosity on Optical Continuum Luminosity between Star-forming Galaxies and Type 2 Active Galactic Nuclei: Globally Negative AGN Feedback in Local Type 2 AGN?
Authors: Zhang XueGuang
Published: March 2024

In this manuscript, clues are provided to support globally negative active galactic nuclei (AGN) feedback on star formation in the host galaxies of the local low-redshift Sloan Digital Sky Survey (SDSS) Type 2 AGN, based on the different dependence of narrow Hα line luminosity L
Hα
on optical continuum luminosity λ
L
cont between star-forming galaxies and Type 2 AGN. Through the measured L
Hα
and λ
L
cont in SDSS star-forming galaxies, there is a strong linear correlation between λ
L
cont and L
Hα
, accepted as a standard correlation without the effects of AGN activity. Meanwhile, considering the apparent contribution of AGN activity to the narrow Hα line emissions in Type 2 AGN, the correlation between λ
L
cont and L
Hα
in the SDSS Type 2 AGN leads to a statistically lower L
Hα
in Type 2 AGN than in star-forming galaxies, with a significance level higher than 5σ, even after considering necessary effects (including effects of host galaxy properties), leading to the accepted conclusion on the globally negative AGN feedback in the local Type 2 AGN. Meanwhile, the properties of Dn(4000) and Hδ

A
can provide indirect clues to support the globally negative AGN feedback in local Type 2 AGN, due to older stellar ages in Type 2 AGN. Moreover, it is interesting to expect more than 50% narrow Hα emissions globally suppressed in the host galaxies of Type 2 AGN relative to the star-forming galaxies. The results not only support globally negative AGN feedback in local Type 2 AGN, but also show further clues on the quantification of suppressions of star formation by the globally negative AGN feedback.
The JWST Resolved Stellar Populations Early Release Science Program. V. DOLPHOT Stellar Photometry for NIRCam and NIRISS
Authors: Weisz Daniel R. , Dolphin Andrew E. , Savino Alessandro , McQuinn Kristen B. W. , Newman Max J. B. , Williams Benjamin F. , Kallivayalil Nitya , Anderson Jay , Boyer Martha L. , Correnti Matteo , Geha Marla C. , Sandstrom Karin M. , Cole Andrew A. , Warfield Jack T. , Skillman Evan D. , Cohen Roger E. , Beaton Rachael , Bressan Alessandro , Bolatto Alberto , Boylan-Kolchin Michael , Brooks Alyson M. , Bullock James S. , Conroy Charlie , Cooper Michael C. , Dalcanton Julianne J. , Dotter Aaron L. , Fritz Tobias K. , Garling Christopher T. , Gennaro Mario , Gilbert Karoline M. , Girardi Leo , Johnson Benjamin D. , Johnson L. Clifton , Kalirai Jason , Kirby Evan N. , Lang Dustin , Marigo Paola , Richstein Hannah , Schlafly Edward F. , Tollerud Erik J. , Wetzel Andrew
Published: March 2024

We present NIRCam and NIRISS modules for DOLPHOT, a widely used crowded-field stellar photometry package. We describe details of the modules including pixel masking, astrometric alignment, star finding, photometry, catalog creation, and artificial star tests. We tested these modules using NIRCam and NIRISS images of M92 (a Milky Way globular cluster), Draco II (an ultrafaint dwarf galaxy), and Wolf–Lundmark–Mellote (a star-forming dwarf galaxy). DOLPHOT’s photometry is highly precise, and the color–magnitude diagrams are deeper and have better definition than anticipated during original program design in 2017. The primary systematic uncertainties in DOLPHOT’s photometry arise from mismatches in the model and observed point-spread functions (PSFs) and aperture corrections, each contributing ≲0.01 mag to the photometric error budget. Version 1.2 of WebbPSF models, which include charge diffusion and interpixel capacitance effects, significantly reduced PSF-related uncertainties. We also observed minor (≲0.05 mag) chip-to-chip variations in NIRCam’s zero-points, which will be addressed by the JWST flux calibration program. Globular cluster observations are crucial for photometric calibration. Temporal variations in the photometry are generally ≲0.01 mag, although rare large misalignment events can introduce errors up to 0.08 mag. We provide recommended DOLPHOT parameters, guidelines for photometric reduction, and advice for improved observing strategies. Our Early Release Science DOLPHOT data products are available on MAST, complemented by comprehensive online documentation and tutorials for using DOLPHOT with JWST imaging data.
A Bias-corrected Luminosity Function for Red Supergiant Supernova Progenitor Stars
Authors: Strotjohann Nora L. , Ofek Eran O. , Gal-Yam Avishay
Published: March 2024

The apparent tension between the luminosity functions of red supergiant (RSG) stars and of RSG progenitors of Type II supernovae (SNe) is often referred to as the RSG problem and it motivated some to suggest that many RSGs end their life without an SN explosion. However, the luminosity functions of RSG SN progenitors presented so far were biased to high luminosities, because the sensitivity of the search was not considered. Here, we use limiting magnitudes to calculate a bias-corrected RSG progenitor luminosity function. We find that only (36 ± 11)% of all RSG progenitors are brighter than a bolometric magnitude of −7 mag, a significantly smaller fraction than (56 ± 5)% quoted by Davies & Beasor. The larger uncertainty is due to the relatively small progenitor sample, while uncertainties on measured quantities such as magnitudes, bolometric corrections, extinction, or SN distances, only have a minor impact, as long as they fluctuate randomly for different objects in the sample. The bias-corrected luminosity functions of RSG SN progenitors and Type M supergiants in the Large Magellanic Cloud are consistent with each other, as also found by Davies & Beasor for the uncorrected luminosity function. The RSG progenitor luminosity function, hence, does not imply the existence of failed SNe. The presented statistical method is not limited to progenitor searches, but applies to any situation in which a measurement is done for a sample of detected objects, but the probed quantity or property can only be determined for part of the sample.
Electrostatic Wave Decay in the Randomly Inhomogeneous Solar Wind
Authors: Krafft C. , Savoini P.
Published: March 2024

Despite a few space observations where Langmuir and ion acoustic waves are expected to participate in the mechanism of electrostatic decay, this is to date believed to be the main and fastest nonlinear wave process in the solar wind. However, in such a plasma where random density fluctuations are ubiquitous, the question of whether nonlinear wave processes play a significant role in Langmuir wave turbulence generated by electron beams associated with type III solar radio bursts remains still open. This paper provides several answers by studying, owing to two-dimensional challenging particle-in-cell simulations, the dynamics and the properties of the ion acoustic waves excited by such Langmuir wave turbulence and the role they play in the electrostatic decay. The impact on this process of plasma background density fluctuations and electron-to-ion temperature ratio is studied. Moreover, it is shown that, for a typical solar wind plasma with an average level of density fluctuations of a few percent of the ambient density and a temperature ratio of the order of 1, nonlinear induced scattering off ions occurs, with small intensity low-frequency quasi-modes and only in localized plasma regions where density is depleted or weakly perturbed by low-frequency turbulence.
DNA-based occurrence dataset on peatland fungal communities studied by metabarcoding in north-western Siberia
Authors: Filippova Nina , Zvyagina Elena , Rudykina Elena , Ishmanov Tagir , Filippov Ilya , Bulyonkova Tatiana , Dobrynina Alevtina
Published: March 2024

The paper represents the first DNA-based occurrence dataset on peatland fungal communities published for north-western Siberia, the first for Russia and complements several existing datasets on metabarcoding of peat soils globally.

The aim of the present publication is to describe the first DNA-based occurrence dataset on fungal communities in peat soils and other substrates studied by the eDNA approach in the Mukhrino raised bog, located in a large paludified area of north-western Siberia. A comparison of the species diversity of larger fungi identified by the conventional approach and by eDNA showed a high proportion of shared taxa. Other groups (mainly Ascomycota), described by metabarcoding, revealed high diversity compared with conventional observation. Overall, the species richness identified in one peatland locality (the Mukhrino Bog) was comparable in number of species to the global estimation of fungal diversity in peatlands, previously reported in literature.
La mue faussée d’un fils pour sa mère : place et fonctions dans l’économie psychique maternelle
Authors: Blachère Chloé , Christaki Angélique , Houssier Florian
Published: March 2024

Pour certaines mères, la mue faussée qui peut apparaître à la puberté de leur fils constitue une source de préoccupation pouvant aller jusqu’à la souffrance. De par le lien étroit qui rattache voix et sexualité, ce passage d’une voix à l’autre, en même temps qu’il entraîne une actualisation du complexe d’Œdipe du fils, peut faire réapparaître chez la mère ses propres problématiques psychiques non résolues, en parallèle de problématiques actuelles propres à la période de vie qu’elle traverse. Ce sont ces différents mouvements psychiques, mis en lumière par la mue faussée du fils, que nous nous proposons d’étudier dans cet article. Mots-clés , , , , .
La spirale : une métaphore de la compulsion de répétition ? De la « mort dans le symbolique » au « désir d’immortalité symbolique »
Authors: Infurchia Claudia
Published: March 2024

L’article présente une étude de cas sous l’angle psychopathologique clinique, un recueil d’éléments issu de rencontres psychothérapeutiques comportant deux cadres, un atelier de dessin-peinture à expression libre, et des entretiens en face-à-face, dans un Centre hospitalier spécialisé. La patiente (d’une cinquantaine d’années), artiste-peintre et écrivaine avant sa décompensation, a la conviction qu’elle est morte et éternelle à la fois. Le diagnostic psychiatrique énoncé est un syndrome de Cotard. Le cadre de soins de l’atelier de dessin-peinture permet à cette patiente, peu encline à la parole, figée par sa maladie, de déposer sur la toile une représentation, une spirale . Cette représentation, récurrente pendant de nombreux mois, va progressivement évoluer de la compulsion de répétition mortifère à une représentation de vie. Il semble que la contrainte à créer, théorisée par R. Roussillon, présente chez de nombreux artistes, ait permis à cette femme, pendant de nombreuses années, d’éviter l’écueil d’une décompensation psychotique. Mais il est possible de penser que sa créativité et sa production artistique ont été mises en échec face à des traumas d’une grande intensité (séparation, décès). La mélancolie s’éloigne lorsque cette même représentation liée au tourment éternel trouve à se transformer en symbole de vie.
Visiter en famille
Authors: Jonchery Anne
Published: March 2024

Résumé Conjuguant plusieurs recherches quantitatives et qualitatives, cet article cherche à comprendre comment se construit à la fois la visite en famille comme pratique culturelle et le public qui la pratique. Des motivations individuelles aux enjeux collectifs, il s’agit d’appréhender ce qui se joue pour les parents et pour les enfants, entre recomposition et bouleversement des pratiques de visite pour les premiers, construction des rapports aux musées pour les seconds. La socialisation enfantine au musée apparaît alors traversée par des processus d’imprégnation des modèles parentaux, les projets éducatifs et par le regard parental posé sur la visite scolaire.
Distribution network reconfiguration optimization method based on undirected-graph isolation group detection and the whale optimization algorithm
Authors: Hu Zijian , Zhu Hong , Deng Chen
Published: March 2024

As distributed generation (DG) becomes increasingly integrated into the distribution grid, the structure of the distribution network is becoming more complex. To enhance the safety and cost-effectiveness of distribution systems, distribution network reconfiguration is gaining significant importance. Achieving optimal distribution network reconfiguration entails two key considerations: A feasible topology and economic efficiency. This paper addresses these challenges by introducing a novel approach that combines the potential island detection in undirected-graphs and the application of a whale optimization algorithm (WOA) for network reconfiguration optimization. To begin, we identified island categories based on the type of switchable-branches connected to these islands, allowing for the construction of potential island groups. Subsequently, unfeasible topologies were eliminated based on the conditions under which islands form within these potential island groups. Feasible topologies were then used to construct a model for network reconfiguration optimization. The optimal distribution network topology is determined using the WOA. In the final phase, the proposed method's effectiveness was demonstrated through a case study on the IEEE-33 node distribution network under scenarios with and without DG integration. The results showed that the proposed method exhibited better performance than traditional approaches in distribution network reconfiguration.
Recent Progress in Nanophotonic Light Sources
Authors: KIM Donghwee , PARK Hong-Gyu
Published: March 2024

It is increasingly crucial in the information era to rapidly transmit and process vast quantities of data. However, conventional electronic integrated circuits that operate at rates below 10 GHz encounter significant challenges in effectively managing parallel signals. How can information be transmitted more quickly? Photonic integrated circuits (PICs) are the solution. PICs have the capability of processing multiple signals in parallel on a single optical waveguide by multiplexing wavelength, polarization, and angular momentum. This enables PICs to transmit at speeds exceeding 100 GHz, showing the potential to increase processing speeds while simultaneously reducing power levels. Nevertheless, one drawback of photonic devices is that they are typically several orders of magnitude larger than electronic devices. Consequently, nanophotonics researchers have been working to make photonic devices smaller without compromising their ability to control light. Advances in nanoscale light sources can present a viable solution to overcome these obstacles. With the formation of long-lasting, spatially confined resonances in nanocavities, it is possible to precisely manipulate far-field radiation. In this article, we provide an overview of the recent achievements in nanophotonic light sources, including topological nanolasers and single-photon emitters.
Differentiation and Dedifferentiation: A Latin American Approach to Systems Theory
Authors: Calise Santiago
Published: March 2024

This paper evaluates the use of the concept of dedifferentiation in Neves’s and Mascareño’s work. These authors assume that Grundrechte’s findings can be integrated into Luhmann’s autopoietic systems theory without any contradictions. However, this is not fully supported by Luhmann’s texts. In Neves’s work, dedifferentiation arises from corrupt practices and the distortion or breakdown of the separation of powers. In Mascareño’s theory, stratificatory and reciprocity networks intervene in the operativity of functional systems, causing the disappointment of expectations. We suggest that theories based on the concept of dedifferentiation ignore the Ebenendifferezierung and wrongly assign all of an organization’s operations to a functional system. This omission leads the authors to conclude that interactional or organizational level phenomena result in functional systems undergoing dedifferentiation. According to Bora, dedifferentiation can be defined as a shift in the systemic reference during individual communication episodes.
Unveiling the Power of Machine Learning Algorithms
Authors: Malhotra Mehak , Dar Amir Ahmad , Jain Akshat , Adithya C. V.
Published: March 2024

The study compares neural networks, k-nearest neighbors, decision trees, and support vector machines in various scenarios, exploring both supervised and unsupervised learning approaches. Benchmark datasets from the banking, healthcare, and image recognition sectors are used to validate the study. Performance metrics, including accuracy, precision, recall, and F1 score, are employed for a comprehensive analysis. The study addresses the transparency of machine learning algorithms, investigating ways to simplify complicated decision-making processes. It also explores how algorithmic performance is affected by parametric modifications to find the best configurations for specific applications. The report offers significant perspectives for professionals, researchers, and policymakers in sectors other than academia, boosting their basic understanding of machine learning technology in revolutionary domains. All in all, this study simplifies machine learning techniques and offers useful insights into their effectiveness and suitability in many fields.
Enhancing Social Cognition in Individuals With ADHD
Authors: Rajan Aiswarya V. , Alexander Ammu E.
Published: March 2024

With the increasing prevalence of ADHD in the global front, it is essential to explore different effective methods for providing support and intervention. The difficulties with social cognition are reflected in their limitations in emotional self-regulation, emotion recognition, and empathy. Though several interventions exist for ADHD, many at times, the effectiveness of eastern approaches are overlooked due to the limited awareness about its nature. Research suggests that systematic and regular practice of yoga helps to improve attention, control emotion, and reduce restlessness among them. Several asanas are found to be especially helpful for managing ADHD symptoms including cobra (bhujangasana) pose, cat-cow pose (bitilasana marjaryasana), downward-facing dog (adho mukha shvanasana), tree pose (vrikshasana), mountain pose (tadasana), among many others. The chapter gives a comprehensive summary on the application of yoga techniques on the improvement of social cognition in individuals with ADHD.
Neuroanatomy of Social Cognition and Theory of Mind
Authors: Mahali Madhumita
Published: March 2024

This chapter explores the neuroanatomical underpinnings of social cognition and theory of mind. By examining the neural substrates involved in these complex cognitive processes, the authors aim to elucidate the mechanisms behind human social interactions and provide valuable insights into disorders characterized by deficits in social cognition. This chapter will explore various brain regions and neural networks implicated in social cognition, highlighting their functional connectivity and involvement in theory of mind abilities. The primary objective of this proposal is to contribute to a comprehensive understanding of the neural basis of social cognition and theory of mind, ultimately enhancing our knowledge of human social behavior.
Social Cognitive Rehabilitation for Neurodegenerative Disorders
Authors: Meghana S. , Shishir Sakshi
Published: March 2024

In this chapter, an initial exploration of the definition and symptoms of neurodegenerative disorders will be conducted along with an in-depth analysis of their underlying neurobiological basis, shedding light on their manifestation in the brain. The central focus will then shift towards comprehending and addressing the specific social cognitive deficits associated with different types of NDs and examining the challenges posed in the realm of social cognition. Strategies and interventions specifically designed for social cognitive rehabilitation will be investigated. The chapter will encompass a discussion on the caregiver burden and effective coping strategies to alleviate the stresses faced. The primary objective of this chapter is to provide readers with a comprehensive understanding of the intricate nature of social cognitive deficits in neurodegenerative disorders and equip them with practical tools aimed at enhancing social cognition and improving the quality of life for individuals affected by these complex conditions.
Sustainability of Export Marketing of Software Services in India
Authors: Patro Chandra Sekhar
Published: March 2024

Exports of software services have the potential to significantly boost both the global information technology (IT) sector and the economies of emerging nations. The software industry's overall rapid expansion, together with that of ITES-BPO, has been having a profound effect on India's socioeconomic dynamics. In the software sector, organizations are under pressure to deliver better service in light of the growing expectations of their customers. Companies need to differentiate themselves from the competition and coordinate their offerings for successful growth. This industry has evolved as the sector that generates the most employment. The Indian government has set up an assortment of initiatives to support the growth of the software industry. The chapter describes the early days of the software industry, examines Indian and global perspectives on the business, assesses the market size of the software industry, tracks the expansion of software exports, and identifies export-friendly government regulations.
Fortifying Cybersecurity in an Interconnected Telemedicine Ecosystem
Authors: Eswaran Ushaa
Published: March 2024

Telemedicine overcomes geographic barriers but interconnectivity amplifies vulnerabilities that malicious actors exploit, compromising operations and eroding patient trust. This necessitates resilient cybersecurity foundations encompassing governance, network segmentation, identity management, multifactor authentication, endpoint hardening, deception tools, access controls, threat monitoring, and cultural change tailored to telemedicine. Technical risk assessments methodically audit assets, workflows and vendors, guiding proportional protections balancing usability. Additional data security best practices like videoconferencing standards, cloud monitoring, intrusion prevention systems using AI, anonymization, encryption, and workforce education through simulated incident drills foster collective vigilance against insider risks. The insights inform healthcare institutions' security roadmaps attuned to their unique risk appetite and maturity while reassuring patients. A resilient blueprint nurtures innovation ecosystems unlocking telemedicine's immense healthcare access potential.
Multi-Pattern GPU Accelerated Collision-Less Rabin-Karp for NIDS
Authors: Abbas Anas , Fayez Mahmoud , Khaled Heba
Published: March 2024

In the domain of network communication, network intrusion detection systems (NIDS) play a crucial role in maintaining security by identifying potential threats. NIDS relies on packet inspection, often using rule-based databases to scan for malicious patterns. However, the expanding scale of internet connections hampers the rate of packet inspection. To address this, some systems employ GPU accelerated pattern matching algorithms. Yet, this approach is susceptible to denial of service (DOS) attacks, inducing hashing collisions and slowing inspection. This research introduces a GPU-optimized variation of the Rabin-Karp algorithm, achieving scalability on GPUs while resisting DOS attacks. Our open-source solution (https://github.com/AnasAbbas1/NIDS) combines six polynomial hashing functions, eliminating the need for false-positive validation. This leads to a substantial improvement in inspection speed and accuracy. The proposed system ensures minimal packet misclassification rates, solidifying its role as a robust tool for real-time network security.
A Fuzzy Portfolio Model With Cardinality Constraints Based on Differential Evolution Algorithms
Authors: He JianDong
Published: March 2024

Uncertain information in the securities market exhibits fuzziness. In this article, expected returns and liquidity are considered as trapezoidal fuzzy numbers. The possibility mean and mean absolute deviation of expected returns represent the returns and risks of securities assets, while the possibility mean of expected turnover represents the liquidity of securities assets. Taking into account practical constraints such as cardinality and transaction costs, this article establishes a fuzzy portfolio model with cardinality constraints and solves it using the differential evolution algorithm. Finally, using fuzzy c-means clustering algorithm, 12 stocks are selected as empirical samples to provide numerical calculation examples. At the same time, fuzzy c-means clustering algorithm is used to cluster the stock yield data and analyse the stock data comprehensively and accurately, which provides a reference for establishing an effective portfolio.
Comparative Study on Performance of Passive and Active Solar Dryer
Authors: Boonthum Eakpoom , Sirichana Sirichai , Namkhet Aphainun , Teeboonma Umphisak
Published: March 2024

Performance of solar dryers were tested. In the past, to study the efficiency of solar dryers. A dryer with one drying chamber was built and tested by changing the conditions. In each experiment, the solar irradiance value is different, which can cause the results to be inaccurate. Therefore, in this study, a number of drying chambers are designed according to the number of experimental conditions to be studied during the same period. To reduce factors that will cause discrepancies in the experimental results. The solar dryer with 4 drying chambers was constructed in 1 unit and tested the performance of passive solar dryer (PSD) and active solar dryer (ASD). Air flowrate of ASD varied at 0.03 m3/s (ASD0.03), 0.06 m3/s (ASD0.06) and 0.09 m3/s (ASD0.09). Pork was selected as testing material with initial moisture content of 265% dry basis. Drying rate, solar dryer efficiency and specific energy consumption are criteria to evaluate of solar dryer performance. Result from the experimental was found that the performance of PSD is lowest compared with ASDs. Furthermore, it was revealed that the drying rate of ASD0.06 is higher than that for PSD, ASD0.03 and ASD0.09 by 22% 10% and 8%, respectively. Results from the experimental reveal the ASDs performance are higher than that of PSD. Moreover, it was found that the drying rate of ASD0.06 is higher than that for PSD, ASD0.03 and ASD0.09 by 22% 10% and 8%, respectively. Whereas, specific energy consumption of ASD0.06 is lower than that PSD, ASD0.03 and ASD0.09 by 26%, 11% and 9%, respectively. Finally, it was also found that solar dryer efficiency of PSD, ASD0.03, ASD0.06 and ASD0.09 are 11.68%, 13.34%, 14.89% and 13.73%, respectively.
A Method to Identify Lithofacies Based on Wavelet Transform, Principal Component Analysis and K-Means Clustering
Authors: Song Man Hyok , Hong Se Gwon , Kim Gang Guk
Published: March 2024

A method to extract lithologic interfaces and identify lithofacies based on the continuous wavelet transform (CWT), principal component analysis (PCA) and K-means clustering is proposed. Well-logs which can reflect lithofacies are selected by correlation analysis of multiple well-logs and their principal components are determined by PCA of them. The CWT of the 1st principal component (PC) based on the Gaussian wavelet at a fixed scale is used to detect temporary interfaces which include lithologic interfaces as well as those reflecting intra-bed variations. Interval signal is formed by averaging the 1st PC values between adjacent interfaces. Accurate and practical lithologic interfaces are reset by considering variances of the interval signal to select interfaces using the difference moduli of the interval signal. The K-means clustering in the main PC space is effectively employed to classify and identify sedimentary lithofacies from well log data. The application to well log data indicates that the method is useful and practical in detecting lithological interfaces and identifying lithofacies.
In Situ Measurement of Twist Propagation and Yarn Tension with Superconducting Magnetic Bearing Twisting Element for Ring Spinning Process
Authors: Hossain Mahmud , Abdkader Anwar , Cherif Chokri , Baloochi Mostafa , Hühne Ruben , Perez Delgado Yves Jesus , Beitelschmidt Michael
Published: March 2024

The twisting of yarn in one of the most widely used conventional ring spinning processes is based on the ring/traveler system. The existing limitation of productivity in the ring spinning process lies on the prevailing force relation between ring, traveler and yarn as well as the frictional heat between traveler and ring, principally in the ring traveler system. Recently, a frictional free twisting element based on a superconducting magnetic bearing (SMB) was developed to increase the productivity of ring spinning drastically, which was patented by ITM and Leibniz IFW Dresden. This SMB consists of a circular superconductor and a permanent magnet (PM) ring. In the superconducting state, the PM ring levitates and can freely rotate even up to an angular speed of 50.000 rpm. It is connected with the spindle via the yarn through a guide attached to the PM ring to impart yarn twist. Through the rotation of the PM ring, the twist propagates to the nip point of the delivery rollers. The twist propagation rate depends on different parameters, e.g., spindle speed, balloon geometry, and friction between yarn and yarn guides. A change in the level of twist affects the process, yarn tension, yarn breakage rate, and yarn properties. Hence, it is important to investigate the twist distribution to derive effective measures for improving the twist propagation especially at higher angular spindle speeds and thus eliminate weak points to increase process stability and yarn quality. The aim of these measurements is to analyze the twist distribution along the yarn path to understand the causes of yarn breakages. In this study, the yarn path was traced at different regions by in-situ measuring the helix angle of twisted yarn using a high-speed camera. From the recorded images, the number of twists per unit length was determined using the image processing software ‘Image J’. Thus, the measurement method allows a new insight into the problem of yarn breakages originating from twist propagation in order to take optimized measures at higher angular spindle speeds.
Catalytic Pyrolysis of Biomass Waste Mixture over Activated Carbon and Zeolite Catalyst for the Production Bio Oil
Authors: Prasetiawan Haniif , Fardhyanti Dewi Selvia , Hadiyanto Hadiyanto , Fatriasari Widya
Published: March 2024

Biomass waste is one of the promising resource for the production of bio oil. In this study, a mixture of biomass waste will be pyrolyzed in the presence of activated carbon and zeolite as the catalyst. The catalyst concentrations were varied at 2%, 4%, 6%, respectively. While, the pyrolysis process was carried out at 500°C, for 60 minutes, with a nitrogen flow of 3 L/min. The highest bio oil yield was obtained the pyrolysis process by using zeolite with 35% at 4% w/w of the catalyst concentration. The lowest acid number obtained was 42.92 on 4% zeolite catalyst with rice husk biomass as the raw material, the best viscosity was obtained on 4% activated carbon multi feedstock with a viscosity value of 4.96 cP. The best density was obtained in multi feedstock with 4% zeolite catalyst and rice husk with 4% zeolite of 0.996 g/mL.
Synthesis and Elaboration of Polydimethylsiloxane/Titanium Dioxide Nanocomposite Films
Authors: Belgroune Nadir , Bessi Assia , Nouas Fadia
Published: March 2024

This work describes the synthesis and characterization of PolyDiMethylSiloxane/Titanium Dioxide (PDMS/TiO2) biopolymer nanocomposite films using two different synthesis methods: ex-situ and in-situ. The PDMS polymer were filled with titanium dioxide (TiO2) nanoparticles. The effects of varying ratios of TiO2 filler (3%, 5%, 10%, and 15%) on the film properties were investigated. The films were thin, ductile, and varied in transparency depending on the filler ratio. various techniques scanning electron microscopy and optical microscopy were used to characterize the TiO2 nanoparticles and PDMS/TiO2 nanocomposite films. Results showed that the TiO2 nanoparticles had a perfect crystalline nanostructure. The analyses of the nanocomposite films confirmed the establishment of cross-linking between the matrix and the reinforcement. The bathochromic effect was shown in the filled films due to the presence of TiO2 nanoparticles in the polymer matrix. The addition of TiO2 nanoparticles modified the PDMS matrix properties, such as transparency and antibacterial activity, making it suitable for various applications such as food or biomedical packaging. In-situ synthesis resulted in better roughness and thickness due to medium dispersion of nanoparticles in the polymer lattice, as confirmed by optical microscopy. This comparative study demonstrates that both synthesis approaches can be used for PDMS/TiO2 nanocomposite films and provides insights into the advantages and disadvantages of each method and contributes to the development of new materials with unique properties in various sectors of the market.
Design of Experiment for Determining Setting Parameter on Plasma Arc Machining for Stainless Steel Plate Cutting with Full Factorial Design
Authors: Ahmaddani Restiawan , Dwijayanti Khusna
Published: March 2024

Plasma Arc Machining is a metal cutting where conductor metal such as sheets metal are cut with plasma arc. Problem in plasma arc machining is the result of cutting has burr which is quite large due to the heat, resulting the surface roughness on the workpiece. This research aim to minimize the surface roughness of the stainless steel plate uses a design of experiment method with full factorial design. In this research, there are three factors, that are torch height, cutting speed, and electric current. Each factor has three levels. By using full factorial design, the number of treatments are 33=27 trials. The results of the research on data processing analysis of variance show that the most influential factor on surface roughness is cutting speed with contribution value of 90.76% followed by two other factors, that is height torch with contribution value of 2.42% and electric current with contribution value of 0.23% and contribution value of noise by 6.59%. Then based on data processing robust design the optimum combination of parameters is obtained by using setting 1 mm torch height, 2400 mm/min cutting speed, and 30 A electric current. Based on the confirmation experiments, experiments with optimum parameter combinations can reach a gap noise of 2.283 dB. Therefore, the design of experiment for determining parameter setting plasma arc machining can determine the optimum combination of parameters to minimize the surface roughness.
Prediction of Ship Movement Using a Kalman Filter Algorithm
Authors: Teodoro M. Filomena , Pereira Cardoso , Henriques Paulino , Canas António
Published: March 2024

The Automatic identification system is a system used globally by ships that allows the easy identification of other surface contacts (also equipped with an automatic identification system equipment). The main objective of the present work is to validate experimentally the prediction of a ship's movement. A Kalman Filter algorithm, a recursive technique widely used in several scientific areas of study including navigation, is designed to estimate and predict the movement. In this work, a non-linear kinematic model is proposed to analyse and predict the movement of an automatic identification system contact, based on the data transmitted by it. The results evidence that the automatic identification system data can be used as input of a Kalman filter to get consistent and reliable information, an advantage to decision makers so they can act with adequate knowledge and in time.
Fatigue Performance and Impact Toughness of PBF-LB Manufactured AlSi 10Mg
Authors: Rautio Timo , Jaskari Matias , Hietala Mikko , Mustakangas Aappo , Järvenpää Antti
Published: March 2024

Additive manufacturing (AM) has transformed the production of complex geometries and customized components.Powder Bed Fusion with Laser Beam (PBF-LB) is a popular AM technique known for its ability to produce parts with excellent mechanical properties. This study focuses on the characterization of AlSi10Mg, an aluminum alloy widely used in aerospace and automotive industries, manufactured through PBF-LB. The influence of printing orientation on the mechanical properties of the material is investigated. Previous research has shown that PBF-LB manufactured AlSi10Mg can exhibit superior mechanical properties compared to traditional material, but the anisotropic nature of parts produced by PBF-LB can significantly affect their properties. Tensile, impact, and fatigue testing are conducted to assess the mechanical behavior of the printed AlSi10Mg specimens under different loading conditions. Microstructural analysis is performed using Field-Emission Scanning Electron Microscopy (FESEM) equipped with Electron Backscatter Diffraction (EBSD) to examine the microstructural features introduced during the PBF-LB process. The results provide insights into the mechanical behavior of AlSi10Mg produced through PBF-LB and contribute to the design and utilization of components manufactured using this AM technique.
Mac Williams Extension Theorem for Codes in Projective Modules over a Finite Frobenius Ring
Authors: Kasparian Azniv Kirkor
Published: March 2024

Let C be a right submodule of a free finite right module F over a finite Frobenius ring R. In order to facilitate the decoding of C, one can replace F by the minimal projective submodule P of F, containing C. Once R is Frobenius, P coincides with the injective envelope E(C) of C in F and can be constructed as the maximal essential extension of C in F. The work describes the injective envelope E(C) of an arbitrary module C over a residue ring Zm modulo a natural number m. Any choice of a basis of F is associated with an inner product on F and allows to describe the relations of C in F by its left orthogonal group (⊥C, +) < (F, +). Bearing in mind that the relations (⊥P, +) of P = E(C) in F are contained in (⊥C, +), one realizes the relations of C in P by the quotient group (⊥C, +)/(⊥P, +). The decoding of C in P = E(C) makes use of a generating set of (⊥C, +)/(⊥P, +), which is obviously smaller than a generating set of (⊥C, +), needed for a decoding of C in F.The present note discusses also Mac Williams Extension Theorem for codes C in finite right projective modules P over a finite Frobenius ring R. It establishes that any Hamming isometry of C in P lifts to a monomial transformation g of a free cover F of P. Moreover, if the kernel of the epimorphism F onto P is invariant under g then the Hamming isometry of C in P extends to a Hamming isometry of P with itself.
Il soggetto come "sistema": prospettive del dibattito filosofico contemporaneo
Authors: Iofrida Manlio
Published: March 2024

Le ricerche di Louis Sander e Ed Tronick hanno riproposto, in campo psicoanalitico, l'attualità della teoria dei sistemi, sulla base di temi come quelli del comportamento procedurale, dei SOC (States of consciousness), dei DSC (Dual states of consciousness) e della DEC (Diadic expansion of consciousness). Non si tratta forse di una nuova veste del vecchio positivismo, che riduce l'uomo a macchina e il soggetto a qualcosa di determinato? Per rispondere a questa obiezione, vengono esaminati il pensiero di Edgar Morin, di Kurt Goldstein, di Alois Riegl e di Maurice Merleau-Ponty, mettendone in rilievo la convergenza verso un"idea antimeccanicistica di vita e di natura: porre una continuità fra uomo e natura non significa assorbire il primo termine nel secondo. Per consolidare questo asserto, viene poi approfondito il senso della libertà: un concetto di libertà non assoluta, ma condizionata, una libertà non come decisione, ma come "lasciar essere" è l'altra faccia di una concezione che non pone salti fra la vita, l'animale e l'uomo e può servire come base di un nuovo concetto di soggetto, assai differente da quello metafisico della filosofia moderna.
Sè inter-corporeo. Un commento a "Il soggetto come sistema" di Manlio Iofrida
Authors: Gallese Vittorio
Published: March 2024

l'interessante lavoro di Manlio Iofrida, parte da una rassegna dei lavori dell'infant research che hanno contribuito a sgretolare l'antica separazione soggetto-oggetto, sostituendo al vecchio solipsismo una nozione del soggetto radicata nel concetto di relazionalità. Tale nozione viene da Iofrida ricondotta ad alcuni antecedenti filosofici. Iofrida affronta poi le critiche che questo modello relazionale del soggetto ha suscitato. In particolare, affronta il tema della necessità di formulare una nuova nozione di libertà connessa alla nuova nozione sistemica di soggettività. Nel presente commento mi concentrerò su alcuni recenti contributi delle neuroscienze cognitive che a mio parere sono consonanti con molti elementi del nuovo modello di soggettività discusso da Iofrida.
Del soggetto diviso
Authors: Rociola Giuseppe
Published: March 2024

Il soggetto della fenomenologia e quello delle neuroscienze sembrano avere molti punti in comune. In effetti condividono una parzialità e quindi un errore di prospettiva: se la prima non può svincolarsi dal piano immaginario sottovalutando la ristrutturazione sistemica dovuta all'acquisizione del linguaggio simbolico delle società umane, le altre riducono le dinamiche della soggettività a quelle del substrato cerebrale. Per mezzo della epistemologia dei sistemi complessi, sosteniamo che il linguaggio porta all'emergenza di un livello sistemico differente, un nuovo dominio, in cui ogni talking cure trova la propria pertinenza. Il soggetto che nasce dal linguaggio è un soggetto diviso - come ha scoperto Freud e come la clinica ci mostra continuamente - non fra la coscienza ed il procedurale o l'implicito, bensì in se stesso. Attraverso questa prospettiva è possibile comprenderlo appieno, curarlo efficacemente, ma soprattutto è l'unica prospettiva etica, dove per etica si intende la questione del desiderio singolare che abita l'azione di quell'individuo e che comporta un"inconscio non riducibile alle altre dimensioni su citate.