bluuebunny/crossref_metadata_2025 huggingface dataset:
All normal dispersion supercontinuum generation in a liquid-core fiber under noninstantaneous nonlinearity
Authors: Chu Van Lanh , Chu Van Ben , Hoang Van Thuy
Published: February 2025

Liquid-core fibers, which are hollow core fibers or capillaries filled with liquids as core materials, have been attractively explored for various applications, especially in nonlinear optofluidics. High nonlinear refractive indices of selected liquids enable broadband supercontinuum generation. Unlike solid glasses, the nonlinear properties of liquids are more complex, including a contribution of electro-bound (instantaneous) nonlinearity and molecular rotation and vibration under external laser pulses (i.e., noninstantaneous nonlinearity). While the role of noninstantaneous nonlinearity in pulse evolution under anomalous dispersion has been extensively studied, its effect on pulse broadening in normal dispersion regimes remains unexplored. In this work, we numerically simulate pulse evolution in a liquid-core fiber with normal dispersion and high noninstantaneous nonlinearity. The results point out that this nonlinearity leads to narrow bandwidth and asymmetry spectrum of self-phase modulation and enhances simulated Raman scattering even at a low input power. High nonlinearity of the liquid provides an octave spanning supercontinuum generation (e.g., 1050-2700 nm with 1 kW input peak power and 20 ps input pulse-width); however, noninstantaneous nonlinearity significantly decreases the coherence through simulated Raman scattering. These results are valuable for understanding light-liquid interactions, not only for supercontinuum generation but also for applications in optofluidic lasers and sensors.
Sub-60-fs SESAM mode-locked Yb, Y: CaF2-SrF2 laser
Authors: Liu Shande , Jin Yicheng , Cheng Yankai , Zhang Zhen , Ma Fengkai , Zhao Bingbin , Liu Junting , Su Liangbi
Published: February 2025

We conducted a comprehensive study on the optical spectroscopy properties and laser performances of a Yb, Y: CaF2-SrF2 co-doping mixed crystal. Our investigation included an analysis of the absorption, emission, and gain cross-sections, and we were able to achieve a wide tuning range of 75.4 nm. Notably, we obtained a maximum average output power of 265 mW with a remarkable 58.3% optical efficiency under 658 mW absorbed pump power in the continuous wave regime. In the mode-locked regime, we achieved a pulse duration of 53 fs and an average output power of 30 mW using a commercial semiconductor saturable absorber mirror (SESAM). The pulse peak power was 5.82 kW, corresponding to a repetition rate of 88.8 MHz. These findings suggest that the Yb, Y: CaF2-SrF2 crystal shows promise as a new type of laser material, providing valuable insights for advancing disordered materials and incorporating other rare earth ions.
Superoscillation focusing of high-order cylindrical-vector beams
Authors: Jin Zhongwei , Jin Yijie , Shu Fangzhou , Fang Bin , Hong Zhi , Liu Jianjun , Yao Yuhang , Chen Keyi , Mei Shengtao
Published: February 2025

Traditional superoscillation focusing (SOF) typically requires complex optimization of the incident light field. These complexities may limit the practical application of superoscillation. High-order radially polarized Laguerre-Gaussian beams inherently support SOF due to their multi-ring amplitude distribution and 0-π phase alternation, which align with the necessary destructive interference mechanisms. In this study, we demonstrate that by adjusting the beam’s mode order together with the incident beam size, we can easily control the full width at half maximum, field of view, and energy distribution of SOF. Moreover, high-order azimuthally polarized vortex-phase Laguerre-Gaussian beams can also achieve SOF, offering even better super-resolution effects. The distinct focusing behaviors of their circular components present unique opportunities for applications involving circular dichroism materials.
Advanced deep learning-based strategy for optical inversion engineering of optical coatings
Authors: Dai Jianglin , Ji Xiaochuan , Niu Xinshang , Jiao Hongfei , Cheng Xinbin , Wang Zhanshan , Zhang Jinlong
Published: February 2025

Optical inversion engineering is crucial for the precise manufacturing of optical coatings. We present a fast-analytical model to generate a set of simulated datasets for training the deep learning model. Subsequently, a deep learning strategy based on the transformer framework for inversing errors in the manufacturing of optical coatings is proposed. After several rounds of training, the model achieves a spectral difference of less than 1% between the inverse spectrum and the measured spectrum from an actual deposition process, with each computation completed in just tens of milliseconds. This level of spectral accuracy, combined with the rapid computation speed, highlights the model's exceptional capability to precisely and efficiently inverse thickness and refractive index errors for actual production.
375–395 nm UV generation in Zn-indiffused MgO-doped PPLN waveguides pumped by an Alexandrite laser
Authors: Tawy Goronwy , Palomar Davidson Noelia , Bannerman Rex H. , Churchill Glenn , Smith Peter G. R. , Gates James C. , Gawith Corin B. E.
Published: February 2025

We present results of wide wavelength coverage in the ultra-violet (UV) from a Zn-indiffused MgO-doped periodically-poled lithium-niobate (PPLN) waveguide. A continuous tuning range of 375–395 nm is obtained via second-harmonic-generation (SHG) in Λ = 6.1 − 6.9 µm poled gratings using a single continuously tunable alexandrite pump laser. Detailed results of the waveguide modes are provided and are shown to match well with the theoretical model. A maximum UV power of 4.1 mW is obtained from 200 mW of throughput pump power from the third-order SHG interaction, providing a route toward a compact and rugged laser source across the 350–400 nm UV range.
Compact mode-insensitive variable optical attenuation enabled by inverse-designed mode manipulation devices
Authors: Yang Shanglin , Fu Xin , Zhang Shiqi , Jia Hao , Niu Jiaqi , Zhang Lei , Yang Lin
Published: February 2025

The growing demand for data capacity in optical communication has heightened interest in mode-division multiplexing (MDM) technology, which provides high parallelism across spatial mode dimensions. Mode-insensitive variable optical attenuation is essential for advanced optical communication systems, ensuring consistent performance across multiple modes. However, current multimode variable attenuation devices are more complex in design and significantly larger than single-mode devices, limiting their integration potential. In this paper, we explore two mode-insensitive phase tuning schemes: waveguide widening and mode transformation. We validate these schemes by developing two compact, mode-insensitive variable optical attenuators (VOAs) on a silicon-on-insulator (SOI) platform. By fully leveraging uniquely inverse-designed mode manipulation devices, the VOAs achieve footprints comparable to their single-mode counterparts, overcoming the size barrier for multimode devices. Experimental results demonstrate robust mode-insensitive attenuation functionality with dynamic ranges of 38.4 dB and 19.6 dB for the two schemes, respectively. The proposed mode manipulation devices and VOAs exemplify the development of compact and efficient multimode components, supporting the ongoing trend toward enhanced integration of on-chip optical systems.
Low noise low dark current AlAsSb/GaAsSb digital alloy avalanche photodiode
Authors: Ge Huachen , Liang Yan , Wang Wenyang , Wang Zihao , Zhu Liqi , Huang Jian , Wang Guowei , Wu Donghai , Xu Yingqiang , Niu Zhichuan , Shi Yi , Chen Baile
Published: February 2025

This study introduces a digital alloy AlAsSb/GaAsSb avalanche photodiode (APD) on InP, demonstrating low dark current and low noise performance. The lattice-matched AlAsSb/GaAsSb APD structure exhibits a dark current density of 16 μA/cm2 at a gain of 10 and an excess noise factor near 2 at room temperature, attributed to high crystal quality and effective passivation. The dark current level achieved in this work is the lowest reported for Sb-based p-i-n APDs with a 1000 nm thick intrinsic region. These results make it highly promising for separate absorption, charge, and multiplication (SACM) structures in optical communication and LIDAR applications.
Projection version of Quantum Optical Lithography
with Type I diffracted photons
Authors: Pavel Eugen , Dinescu Adrian , Mladenovic Damir Victor , Brincoveanu Oana
Published: February 2025

The suppression of wave-particle duality in multiple slit experiments has indicated the presence of Type I diffracted photons with particle behavior. The breakdown of the diffraction limit is possible with Type I diffracted photons and it will be applied in optical lithography. In this paper, we present results regarding a diffractionless optical lithography, Projection Quantum Optical Lithography (Projection QOL), with different NA projection lens and resolution of ~ 14 nm. A potential application for the realization of 1 nm complex patterns is analyzed. Projection QOL could sustain R&D efforts of semiconductor chip industry.
Tenoxicam. Pharmacological and clinical profile
Authors: Afanasyev V. V. , Iskra D. A.
Published: February 2025

The review contains information on the pharmacodynamics, pharmacokinetics and clinical pharmacology of the non-steroidal anti-inflammatory drug (NSAID) tenoxicam (trade name – Texared®). Some features of the chemical structure of tenoxicam and the specificity of pharmacological action based on them are discussed, as well as clinical effects that distinguish tenoxicam from its homologues. The efficacy is compared with that of other NSAIDs. Issues of clinical pharmacokinetics (low dissociation constant – pK; exposure levels; long T0.5; Cmax, etc.) are discussed. The clinical part of the review presents comparative studies on tenoxicam and its homologues as well as on combinations of tenoxicam with drugs from other groups.
Elite Political Behavior to Get Government Positions through Site Visits in Malang Regency
Authors: Fiqri Fadilah Muhammad , Saiman Saiman
Published: February 2025

The study discusses the behaviour of elites performing pre-election political rituals. This behaviour was carried out in the sacred place in Malang Regency. Political traditions contain the belief that symbols followed by elites interpret religion and politics. In this case, the elite who follow the election is closely related to the various contests that are contested. The study uses a qualitative descriptive approach with databases sourced from informants in the field through the interview process and separating vital and additional informants. It was discovered that the elite’s practice of political rituals was formed by a series of processions at the site of kingdom relics. Political patterns attached to the elite have turned into a form of tradition from initially just a pilgrimage process. This form of ritual is divided into stages. First, understand the ritual conditions and symbols. Second, interpret the patterns performed. Third, transform patterns in the actions of the political elite. This paper shows that studying political culture sourced from the elite still needs to be explored as a social phenomenon ahead of elections in Indonesia.
Interfaith and Cultural Community Meeting in Weaving National Identity Based on the Huma Betang Philosophy in Palangka Raya
Authors: Pattiasina Sharon Michelle O.
Published: February 2025

Palangka Raya is characterized by ethnic, cultural, and religious diversity. It shows that the Dayak people, as indigenous people, have lived alongside the immigrants. Huma Betang’s philosophy significantly affects society across religions and cultures. This research aims to analyze the implementation of the Huma Betang philosophy in cross-religious and cultural community encounters in knitting national identity in Palangka Raya. This research uses a qualitative method with a sociology of religion approach. In this case, the data collection techniques are observation, interviews, and literature study. The results of the research found that the existence of the Palangka Raya community in the socio-cultural and religious space is based on the Huma Betang philosophy and the motto Bumi Tambun Bungai Bumi Pancasila. These two things are not only implemented for fellow Dayak tribes but also for people with different backgrounds who are categorized as immigrants in Palangka Raya. It is strengthened by the community’s appreciation of humanitarian actions. In this way, the experience of living together in a space across religions and cultures becomes a national spirit based on humanitarian action.
Communication Strategy of Alfamart Corporate Communication Department in Maintaining Positive Company Image
Authors: Thariq Mighty Razzaq Ath , Priliantini Anjang
Published: February 2025

This study explores Alfamart's communication strategy for maintaining a positive image amidst the challenges of the digital era and tight business competition. This study's background discusses the negligence of Alfamart store cashiers in providing prices that went viral in 2020. The study focuses on the importance of a strong corporate image as a strategic asset in maintaining consumer loyalty and managing public perception. The purpose of this study is to understand the strategies implemented by Alfamart's Corporate Communication Department, especially in responding to issues that can damage the company's reputation. This study uses a qualitative-descriptive approach with interviews, observations, and documentation. The primary informants are the staff of Alfamart's Corporate Communication Department, supported by store personnel as secondary informants. The data were analyzed using the Image Repair Theory by William L. Benoit and communication strategies by Scott M. Cutlip et al. The results of this study indicate that Alfamart implements communication strategies such as clarification through social media, two-way interaction with consumers, and strengthening positive messages through marketing campaigns and CSR programs. This strategy has effectively improved the company's image since the viral issue. However, this study also found that similar problems recurred in 2024, thus indicating the need for continuous evaluation and improvement in future communication strategies. This study emphasizes the importance of a structured communication strategy and periodic assessment to maintain a positive company image in the digital era.
Mushroom-mediated silver nanoparticle synthesis: characterisation, antimicrobial and antioxidant activities
Authors: Abdalrahman A S , Suliaman S Q
Published: February 2025

The use of biological agents for the synthesis of green nanoparticles has garnered significant attention, emerging as a promising approach in nanotechnology and materials science. In this study, silver nanoparticles were synthesised using an aqueous extract from cultivated mushrooms, including Chlorophyllum agaricoides PP410314, Coriolopsis trogii PP921338.1, Ganoderma sp. PP921328.1 and Lentinus tigrinus PP921339.1, grown on potato dextrose agar (PDA). The formation of these nanoparticles was confirmed through UV-visible spectroscopy, with maximum absorbance observed at 424 and 426 nm. Nanoparticles were characterised to assess their stability, shape, size and crystallinity using various analytical techniques, such as Fourier transform infrared (FTIR) spectroscopy, atomic force microscopy (AFM), scanning electron microscopy (SEM) and X-ray diffraction (XRD). The XRD pattern revealed 2? values corresponding to silver nanocrystals, with average crystallite sizes of 25.31, 27.05, 28.98 and 31.42 nm. The antimicrobial activity of the synthesised nanoparticles was tested against various microorganisms, including Escherichia coli ATCC25922, Pseudomonas aeruginosa ATCC9027, Staphylococcus aureus ATCC6538 and Candida albicans ATCC10231, demonstrating a strong inhibitory effect. Furthermore, antioxidant assays confirmed that these nanoparticles exhibited significant activity, which increased with concentration, in comparison to vitamin C. Overall, the green synthesis approach successfully produces silver nanoparticles with robust antioxidant and antibacterial properties, which can be attributed to the bioactive molecules present on their surface.
Metabolite pathway alterations identified by magnetic resonance metabolomics in a proximal tubular epithelial cell line treated with TGF‐β1
Authors: Humphries Tyrone L. R. , Lee Soobin , Urquhart Aaron J. , Vesey David A. , Micallef Aaron S. , Winterford Clay , Kassianos Andrew J. , Galloway Graham J. , Francis Ross S. , Gobe Glenda C.
Published: February 2025

Tubulointerstitial fibrosis is a characteristic hallmark of chronic kidney disease (CKD). Metabolic perturbations in cellular energy metabolism contribute to the pathogenesis of CKD, but the chemical contributors remain unclear. The aim of this investigation was to use two dimensional 1H‐nuclear magnetic resonance (2D‐COSY) metabolomics to identify the chemical changes of kidney fibrogenesis. An in vitro transforming growth factor‐β1 (TGF‐β1)‐induced model of kidney fibrogenesis with human kidney‐2 (HK‐2) proximal tubular epithelial cells (PTEC) was used. The model was validated by assaying for various pro‐fibrotic molecules, using quantitative PCR and Western blotting. 2D‐COSY was performed on treated cells. Morphological and functional changes characteristic of tubulointerstitial fibrosis were confirmed in the model; expression of fibronectin, collagen type IV, smooth muscle actin, oxidative stress enzymes increased (p < 0.05). NMR metabolomics provided evidence of altered metabolite signatures associated with glycolysis and glutamine metabolism, with decreased myo‐inositol and choline, and metabolites of the oxidative phase of the pentose phosphate pathway with increased glucose and glucuronic acid. The altered PTEC cellular metabolism likely supports the rapid fibrogenic energy demands. These results, using 2D‐COSY metabolomics, support development of a biomarker panel of fibrosis detectable using clinical magnetic resonance spectroscopy to diagnose and manage CKD.
Research on the variation in the Shields curve of silt initiation
Authors: Qi Qinghui , Dong Peihua , Qu Hongling
Published: February 2025

The sediment particles on muddy coasts are relatively fine, and they are easy to move under the dynamic action of wave power, which can easily cause sedimentation problems in port channels. Therefore, the problem of silt initiation is a key issue for in-depth research in the development process of silt coast harbors. Based on a large amount of experimental data on silt initiation in silty coast conducted by predecessors, the relationship between the incipient Shields number and sediment parameters such as sediment particle size and sediment density was quantitatively analyzed. The explicit calculation formula of the incipient Shields number is established, and the modified distribution map of the incipient curve zone is drawn. The role of particle size and sediment density in sediment incipient motion was elucidated. The modified distribution map of the incipient motion curve was drawn, which promotes the application of the Shields curve in muddy coastal engineering.
Optimization of stirred animal cell bioreactor based on CFD-PBM
Authors: Wang Xuemin , Ma Benchi
Published: February 2025

Stirred bioreactor has been widely used in biopharmaceutical field, and it is particularly important to understand the culture environment of animal cells in stirred bioreactor. This study, utilizing Computational Fluid Dynamics (CFD) in conjunction with the Population Balance Model (PBM), explores the effect of various operational conditions and impeller combinations (downward-pumping elephant ear impeller (EED) combined with a concave disc turbine impeller (CBDT), dual downward-pumping elephant ear impellers (EED-EED), and a combination of downward-pumping (EED) and upward-pumping (EEU) elephant ear impellers) on bioreactor performance, with the goal of developing a stirred bioreactor suited for animal cell culture. The findings reveal that increasing the stirring rate significantly enhances fluid circulation within the bioreactor, leading to an increase in gas holdup. Enhanced stirring rate and aeration not only facilitate bubble dispersion but also result in a significantly higher gas holdup in the lower part of the bioreactor compared to the upper part. Moreover, higher stirring rate also lead to larger bubble diameters. At the highest stirring rate, the maximum hydrodynamic stress in the bioreactor reaches 16 Pa, while the Kolmogorov length scale is smaller at high stirring rate. The EED-EEU demonstrates effective gas dispersion with uniform bubble distribution and minimal hydrodynamic stress; the EED-EED combination, while offering the best bubble dispersion, is associated with larger bubble diameters and higher hydrodynamic stress.
Generalized Hermite process: Tempering, properties and applications
Authors: Araya Héctor
Published: February 2025

In this work, we introduce a new process by modifying the kernel in the time domain representation of the generalized Hermite process. This modification is constructed by means of multiplication of the kernel in the time definition of the process by an exponential tempering factor

λ
>
0

{\lambda>0}

such that this new process is well defined. Several properties of the process are studied.
Metalloporphyrin-mediated oxidative degradation of risperidone under mild conditions: an LC-MS/MS study
Authors: Subash Midhuna , Bijoy Rachel , Chorghade Mukund S. , Thorat Bhaskar N.
Published: February 2025

This study examines the oxidative breakdown of an antipsychotic drug risperidone utilizing a metalloporphyrin catalyst in a controlled, constrained amount of time and moderate reaction conditions. Analyzing products and tracking the oxidative degradation process using LC-MS/MS analysis gave precise information on the reaction products and defined structural changes. The study investigated the fragmentation patterns of risperidone’s oxidative breakdown products, delving into the mechanisms underlying each fragmentation pathway. Our work highlights the creation of site-specific metabolites. Risperidone-N-oxide was identified as a significant oxidative product along with minimal quantities of in vivo metabolite, 9-hydroxyrisperidone.
Eberconazole nitrate–loaded spanlastics: nanocarriers for topical delivery system
Authors: Haldankar Piyusha Pradip , Fernandes Adison , DCruz Cleona Elizabeth Mary , Kumar Lalit , Shirodkar Rupesh Kalidas
Published: February 2025

Eberconazole nitrate (EBN), a broad-spectrum imidazole antifungal agent, is widely used for the topical treatment of fungal mycoses. However, as a BCS class II drug, EBN faces problems such as poor skin permeability and low cutaneous bioavailability. To overcome these problems, a novel surfactant-based nanovesicular delivery system was developed. The aim of this study was to develop and evaluate a nanovesicular spanlastic gel loaded with EBN for sustained topical delivery and improved bioavailability. The EBN spanlastic vesicles were formulated using a modified ethanol injection method. Using a 2³ factorial design and Stat-Ease 360® software, eight formulations were evaluated to optimize particle size and entrapment efficiency. The vesicles exhibited nano size (93.5 nm – 368.6 nm) and high entrapment efficiency (94.14 % – 97.30 %). The optimized formulation had the smallest size and the highest entrapment efficiency. TEM analysis confirmed non-agglomerated circular vesicles. In vitro studies showed an enhanced drug release of 87.2 % within 8 h. The optimized spanlastic formulation was incorporated into a 1 wt% Carbopol 934 gel and tested for parameters such as viscosity, spreadability, drug content, skin irritation and in vitro release. Ex vivo permeation studies showed better drug release (97.3 %), higher flux (0.137 mg cm−2 h−1) and a higher permeability coefficient (0.0137) compared to conventional formulations. The results suggest that the nano spanlastic gel is a promising antifungal delivery system for EBN.
A case report on rheumatoid arthritis-associated medium vessel vasculitis complicated by arterial thrombosis
Authors: Haridas Vikram , Haridas Kiran
Published: February 2025

The study discusses the case of a patient with known rheumatoid arthritis (RA) who presented with sudden-onset gangrene of the left little finger, accompanied by severe pain. Despite elevated inflammatory markers, normal echocardiogram, and negative autoimmune screenings, the patient was diagnosed with RA-associated medium vessel vasculitis. Initial treatment was with pulse steroids; however, subsequent development of pain in the radial artery distribution prompted further investigation. Angiography revealed narrowing in the ulnar and radial arteries, confirming medium vessel vasculitis. In the meantime, the patient developed arterial thrombosis confirmed by Doppler imaging. The patient was subsequently treated with a combination of steroids, cyclophosphamide, and aspirin and unfortunately, amputation was done below the elbow.
Dielectric cylinders discrimination in a combined analysis of amplitude and phase information of synthesized time-domain response using three-component stacked neural network
Authors: Drobakhin O.O. , Chuchva V.D.
Published: February 2025

The three-component stacked neural network containing two autoencoders and thesoftmax unit has shown its applicability in the analysis of amplitude and phase 2D imagesof dielectric cylinders obtained using synthesized time-domain response. Consideration ofamplitude information in the presence of high noise levels requires increasing the size ofnetwork layers, while phase information is unstable even to small deviations in the diame-ter of the classified cylinders. The current paper proposes a combined approach that in-volves the simultaneous analysis of amplitude and phase images of each cylinder, followedby determination of the general probability of its belonging to a particular class. It isdemonstrated that network training based on this approach allows one to take into consid-eration both a high noise level and comparable deviations in the diameter of the cylindersin a short training time and without the need to increase the number of neurons in the hid-den layers.
On a method of approximating potential fields with discontinuous boundary conditions
Authors: Molchanov A.O.
Published: February 2025

The paper considers numerical simulation of the approximation of a potential field withgiven discontinuous boundary conditions using a classical basis of harmonic functions,which is enriched by harmonic functions with discontinuous traces at the boundary of thedomain. It is shown that this method can be applied to noisy data.
On one approach to the study of heterogeneous time queueing systems with control
Authors: Poslaiko N.I.
Published: February 2025

The article considers a mathematical model of a non-uniform in time mass servicesystem with control. The service process is represented by a two-dimensional Markovprocess. An approach to finding the probabilities of the states of this process in a transientmode is proposed.
An approach for assisted outcome detection and validation using LLM for foresight applications
Authors: Savastiyanov V.V. , Stoliar M.V.
Published: February 2025

The increasing complexity of foresight tasks demands innovative methods for the detec-tion, analysis, and validation of outcomes to ensure reliable and actionable insights. Thisstudy explores the potential of Large Language Models (LLMs) to assist in foresight applica-tions within rapidly evolving and high-tech domains. The study is using a simplified versionof a known foresight framework, adapted to the specific domain of “Unmanned Systems andCommunication Technologies in the Ukraine-Russia War.” The proposed approach inte-grates natural language processing (NLP) capabilities with system analysis methods and do-main-oriented foresight methodology. Special attention is given to the detection and valida-tion of technological application "outcomes," including immediate results, long-term im-pacts, and trends within the technology lifecycle. Leveraging LLMs enables the processing oflarge volumes of textual data in the context of analyzing and modeling cyclical phenomena.One notable outcome of this study is the identification of "associative inferences"-- predic-tions derived through pattern recognition and latent connections within the data. While theseinsights may not always be explicitly represented in the text, they create potential for furtherresearch in this area. Such forecasts emphasize the capability of LLMs to contribute to fore-sight methods not only by extracting explicit information but also by generating novel inter-pretations that hold promise for scenario modeling. The study also addresses the challengesof configuring models and designing prompts, which significantly influence the quality andrelevance of the extracted information. Employing various model configurations allows forimproved result accuracy and broader topic coverage. Future research is suggested to focuson exploring the potential of LLMs for generating implicit inferences (predictions) and inte-grating these models into other stages of the foresight process. Specifically, this includes stag-es such as SWOT and STEEP analyses and supporting scenario development. Building onthe achieved results, LLMs can significantly enhance the methodologies of foresight imple-mentation in complex and rapidly changing domains.
Advanced AI-ML Techniques for Predictive Maintenance and Process Automation in Manufacturing Systems
Authors:   Independent Researcher, Keskar Ankush , Jain Souratn ,   Independent Researcher
Published: February 2025

Advanced artificial intelligence (AI), together with machine learning (ML) techniques have transformed
how manufacturing systems execute both predictive maintenance and process automation. This study evaluates
advanced artificial intelligence and machine learning techniques focused on predictive maintenance applications as well
as automation effectiveness in manufacturing processes. This study analyzes several algorithms together with design
paradigms and structured systems which optimize operational efficiency and increase productivity while diminishing
system downtime. The paper presents future research opportunities alongside challenges together with case studies that
demonstrate successful system implementations.
Data Synergy: Architecting Solutions for Growth and Innovation
Authors:   Department of Financial Services Insights & Data, Capgemini America Inc, NJ, USA, Marella Bhagath Chandra Chowdari
Published: February 2025

Data synergy represents the harmonious integration of disparate data sources to generate insights, drive
innovation, and foster organizational growth. In an era characterized by exponential data generation from IoT devices,
social media platforms, business systems, and other sources, organizations face mounting challenges in harnessing this
data effectively. Data synergy emphasizes breaking down silos, enhancing interoperability, and building scalable
architectures to transform raw data into actionable insights.
This paper delves into the principles and methodologies of data synergy, exploring how it serves as a catalyst for
innovation and competitive advantage. It examines technological advancements, such as cloud computing, edge
computing, and artificial intelligence, that enable real-time processing and seamless integration. Furthermore, the study
provides an in-depth analysis of frameworks like data lakes, data mesh, and data fabrics, demonstrating their role in
modern data architectures. Real-world case studies from industries such as healthcare, finance, and retail illustrate the
transformative impact of data synergy on decision-making, operational efficiency, and customer experiences.
The research identifies key challenges—such as data quality, scalability, and security—and proposes practical solutions
to address these issues. The findings emphasize that data synergy not only optimizes resource utilization but also fosters
a culture of innovation by enabling organizations to anticipate trends and adapt proactively. This paper concludes by
outlining future directions for research and implementation, emphasizing the ethical considerations and emerging
technologies poised to shape the future of data synergy.
Arista's Etherlink AI Platform: AI-based Network Architecture Designed for High-Performance AI Workloads, Focusing on Congestion Avoidance and Optimized Ethernet Utilization
Authors:   Independent Researcher, Yondertech Dallas, Texas, USA, Katragadda Santhosh , Kehinde Odubade ,   Independent Researcher, Yondertech Dallas, Texas, USA, Goh Jonathan ,   Independent Researcher, Yondertech Dallas, Texas, USA
Published: February 2025

The rapid expansion of artificial intelligence (AI) and machine learning (ML) workloads has created an
urgent demand for high-performance, low-latency network architectures capable of handling massive data transfers
with minimal congestion. Traditional Ethernet solutions often struggle with inefficiencies, packet loss, and network
congestion, limiting AI scalability and performance. Arista’s Etherlink AI platform introduces an advanced AIoptimized Ethernet architecture designed to enhance congestion avoidance, maximize bandwidth utilization, and
provide lossless data transmission for high-performance computing environments. By integrating real-time telemetry,
intelligent packet scheduling, and adaptive routing mechanisms, Etherlink AI ensures optimal network efficiency,
enabling seamless AI workload execution. This paper examines the platform’s core architectural components,
congestion control strategies, and impact on next-generation AI infrastructure, highlighting its role in addressing the
critical challenges of modern AI-driven networking.
Restorative justice for the resolution of criminal legal conflicts of juvenile offenders in the fiscal district of Santa
Authors: Torrel Paez Maura Yesenia
Published: February 2025

The present investigation had as a general objective to analyze if the restorative justice regulation contributes to the resolution of criminal conflicts of juvenile offenders in the fiscal district of Santa, 2022. An applied methodology was used, with a qualitative approach and a non-experimental - phenomenological design, where documentary, normative and jurisprudential sources in Criminal Law on the variables under study were used, as well as six (06) lawyers specialized in Criminal Law of the city of Chimbote; where it was applied as techniques in content analysis and interviews which had their due instruments. It is concluded that the restorative justice regulation contributes to the resolution of criminal legal conflicts of juvenile offenders in the fiscal district of Santa, 2022, as it allows reparation of the damage caused to the victim, as well as the reintegration and non-repetition of the child, seeking to protect the interests of the victim, the offender and the community, promoting a culture of peace, conciliatory awareness and mediating legal systems.
Internal Control and the Execution of Public Expenditure in aDistrict Municipality
Authors: Lam-Flores Ingrid Cristina , Quispe-Mendoza Roberto , Torres-Flores Luis Alberto
Published: February 2025

The execution of public expenditure is an indicator of the performance of organizations, so it is important to analyse its link with other factors involved, such as internal control. For this reason, the research aims to determine the relationship between internal control and the execution of public expenditure in the District Municipality of Nuevo Chimbote. A sample of 32 workers belonging to six departments of the organization was considered. Regarding the techniques executed, these were the survey and the documentary review, while the instrument was a questionnaire. Among the expected results is the verification that the research variables have a moderate positive relationship, since the Spearman Rho test determined a correlation value of 0.430 and a significance of 0.014. This last value is lower than the theoretical significance of 0.05. It was concluded that internal control and the execution of public expenditure are significantly related in the District Municipality of Nuevo Chimbote.
Interlinear Translations Reduce Cognitive Load on EFL Vocabulary Acquisition
Authors:   Universidad del Quindío, Bonilla Carvajal Camilo Andrés
Published: February 2025

The use of translation in language teaching has been a source of controversial debate. Nevertheless, glossing—specifically, interlinear translations—remains an understudied learning strategy, despite having been used by learners and teachers of foreign languages since at least 1000 C. E. In the absence of a review tracing the history of interlinear translations, as well as the lack of empirical studies addressing their effect on second language reading, the present article aims to explore the role of first-language interlinear glossing by describing the results of an intervention using different reading formats in a first-semester university English reading program. In the experiment, a group of efl beginner participants (n = 48) were assigned to one of three experimental conditions, namely, reading a text in academic English (L2) with a Spanish (L1) translation using either interlinear, construed, or marginal glossing. A translation task of the same text into their first language followed immediately and was repeated past eight days. Independent anova measurements reveal an increase of translated words for the interlinear over the other two conditions, which is consistent with the hypothesis that interlinear translations allow explicit focus on word recall by reducing cognitive load in working memory, and the split-attention effect between the L2 text and its corresponding translation on a separate page. This study aims to enrich our current understanding of the impact of glossing layouts on cognitive processing.
La guerra en Ucrania en el lenguaje político en los medios de comunicación españoles: análisis de discurso de prensa escrita
Authors:   Universidad de Economía de Bratislava, Mockova Nina , Spišiaková Mária ,   Universidad de Economía de Bratislava
Published: February 2025

La guerra en Ucrania ha tenido repercusión a nivel global. Los temas más discutidos tanto en la prensa como en los medios de comunicación son el suministro de armas, la acogida de refugiados y la intervención directa de España en la guerra. El presente artículo de investigación reporta un estudio cualitativo realizado a partir del corpus recolectado desde el estallido de la guerra en Ucrania en febrero de 2022, hasta las elecciones generales en España en julio de 2023, y analiza 80 comunicados. El estudio está basado en el análisis del discurso de los representantes de los partidos políticos más importantes y presentes en la actualidad en España, y de los medios de comunicación. En este artículo se analizan las actitudes de los políticos en la escena política española, sus estrategias retóricas y otros recursos lingüísticos usados en los medios de comunicación y el lenguaje empleado por los políticos. Los resultados muestran la existencia de tendencias hacia el populismo en los partidos de derecha e izquierda extremos y, a nivel lingüístico, abundan metáforas, fraseologismos, eufemismos, neologismos estilísticos y se vuelven a emplear las palabras que estaban en desuso. Esta investigación complementará los estudios de la lingüística política en Europa central y permitirá la comparación con estudios del lenguaje político en otros países.
Views of Education Professionals of the Role of Schools in Addressing Suicidal Behavior at Brazilian Schools
Authors: Gomes Pires Fernandes Dias Maraina , Sá de Andrade Luciane
Published: February 2025

Introduction. The suicide rate among adolescents is a public health problem in Brazil, due to the significant increase observed in attempts and deaths. Despite the recent legislation on prevention, there is a lack of effective public policies, particularly in schools. Teachers, who have direct contact with adolescents, are often ill-equipped to deal with this issue. Objective: To understand how education professionals identify the role of schools in dealing with suicidal behavior. Method: A transversal, exploratory, qualitative study. Eight public school teachers working with adolescents participated in the research. Interviews were conducted via Google Meet due to the pandemic. Braun and Clarke’s inductive thematic analysis was used to analyze the data. Results: The analysis of the interviews yielded108 codes, resulting in the topic “Schools also involve the issue of affection between teachers and students.” Discussion and conclusion: The influence of the affection between teachers and students in preventing suicidal behavior was emphasized, together with the challenges schools face in addressing this issue. This study has shown that schools are key elements in protecting adolescents from suicidal behavior. However, it is essential to develop strategies that include incorporating mental health into the curriculum and teacher training.
Evaluation of a Brief Mindfulness-based Intervention to Prevent Problematic Substance Use among First-year Medical Students
Authors: Ortiz Castro Arturo , Bernal Pérez Rosalía Pilar , Vargas Huicochea Ingrid , Farfán Márquez Aurora , Flores-Castro Julio César
Published: February 2025

Introduction. Beginning a degree in medicine involves a significant change in a student’s lifestyle, particularly during the early years, since stressful situations are difficult to address. Objective. To evaluate the effectiveness of Mindfulness Based Intervention (MBI) in medical students to reduce problematic substance use, stress, anxiety, and depressive symptomatology. Method. Experimental study of two groups with simple random assignment in a sample comprising 320 students. Results. The mean age of participants was 19; 85% reported having consumed alcohol at some time in their lives, 48% tobacco and 18% cannabis. Alcohol and tobacco use decreased slightly from baseline to follow-up in the group that received a MBI. At the same time, there was a statistically significant decrease in stress in the experimental group and anxiety decreased in both groups with statistically significant changes due to a probable imitation effect. Discussion and conclusion. The downward trend in alcohol and tobacco consumption could have intensified if the full intervention program had been completed, as observed in other studies in which five or more MBI sessions were given, achieving significant improvement. The reduction in the level of the variables examined coincides with studies showing the benefits of MBI as a mechanism for emotional regulation to cope with adverse events.
Efficacy of Probiotics, Prebiotics, and Symbiotics for the Treatment of Depression: A meta-review
Authors: Anguiano Morán Ana Celia , Díaz de León Castañeda Christian , Rodríguez Orozco Alaín Raimundo , Valtierra Oba Elva Rosa , Lemus Loeza Bárbara Mónica , Galván Villalobos Gabriela
Published: February 2025

Background. Recent research has highlighted the importance of nurturing and strengthening the intestinal microbiota due to its relationship with mental health, which has implications for the prevention and management of mental diseases such as depressive disorders. One opportunity to address this is supplementation with live microorganisms called probiotics or substances that promote their development called prebiotics, or both (symbiotics). Objective. This study aims to explore the existing literature on the efficacy of probiotics, prebiotics, and symbiotics for the treatment of depression symptoms and depression. Method. A meta-review of systematic reviews was conducted across various databases (Medline/PubMed, Web of Science, Scopus, Cinahl, and PsycInfo). Formulation of a research question and a comprehensive search strategy employing keywords and Boolean operators guided the identification of systematic reviews reporting quantitative synthesis, particularly meta-analysis of randomized controlled trials (RCT). Systematic reviews meeting these criteria were selected, and relevant findings were systematically extracted. Results. Thirteen systematic reviews with meta-analyses of RCT were selected. The evidence points towards the efficacy of prebiotics, probiotics, and symbiotics in depression treatment, albeit with a weak effect. Conditions optimizing the antidepressant efficacy of these supplements were identified, including their use as adjunctive therapy to pharmacological treatment, concurrent use of probiotics and prebiotics (or symbiotics), and the use of multi-strain formulations. Discussion and conclusion. Prebiotics, probiotics, and symbiotics are considered to demonstrate substantive evidence of their efficacy in the treatment of depression. Nevertheless, various research opportunities within this field have been identified.
Selective dorsal rhizotomy in cerebral palsy, rehabilitation features. Literature review.
Authors: Kurmanova Dinara , Turuspekova Saule , Lisnic Vitalie , Mukhambetova Gulnar Mukhambetova A. , Demesinova Bayan Kosbolovna , Mamashaev Nurmuhamed Karimovich
Published: February 2025

Selective dorsal rhizotomy is one of the methods of surgical correction of muscles’ spasticity in lower extremities in patients with cerebral palsy. This surgical technique obeys the canons of evidence-based medicine, and moreover has a high level of evidence. However, long-term positive results after surgery can only be achieved by combining surgical treatment with rehabilitation. This literature review presents a historical background of the surgical intervention methodology and analyzes the results of researchs about methods and features of rehabilitation after selective dorsal rhizotomy .
Los autos sacramentales de Calderón y la renovación de la escena española (1927-1939)
Authors: Adillo Rufo Sergio
Published: February 2025

Este artículo analiza la puesta en escena de los autos sacramentales de Calderón entre 1927 y 1939, distinguiendo tres tendencias principales: los montajes arqueológicos, los espectáculos cercanos al lenguaje de la vanguardia y las obras de propaganda. El repaso a los grandes hitos de cada una de estas aproximaciones al género permitirá extraer conclusiones sobre los rápidos cambios de paradigma en el acercamiento a Calderón de los profesionales, del público y de los agentes del campo de poder.
Categorías interpretativas, marcado textual y codificación en XML-TEI para el estudio de los paratextos de escritoras españolas en la edad moderna (BIESES)
Authors: Martos Pérez María D.
Published: February 2025

Este artículo explica el proceso de trabajo de edición digital y marcado de categorías de análisis de los paratextos contenidos en obras de escritoras españolas de la primera edad moderna, desde los primeros impresos conservados hasta los años finales del siglo XVIII. Una primera parte de este trabajo se dedica a analizar la metodología de investigación que el equipo de investigación del Proyecto BIESES ha llevado a cabo para definir las categorías de análisis que explican la escritura femenina de este período, en relación a los conceptos de autora, obra y receptor. En la segunda parte se da cuenta de las fases de trabajo de edición digital del corpus paratextual, marcado en TEI y el diseño de un buscador que permite recuperar esas categorías de análisis. El resultado de este proyecto de investigación es un entorno virtual de trabajo, que pone a disposición de la comunidad investigadora, en acceso abierto, herramientas de análisis, textos y una propuesta metodológica que proyecta el análisis literario en las humanidades digitales.
Cervantes y Venecia: una nota a El licenciado Vidriera sobre las crónicas de Indias
Authors: J. Sáez Adrián
Published: February 2025

El elogio cervantino a Venecia en El licenciado Vidrieraes una pequeña corografía que abarca una comparación con México, de acuerdo con una semejanza forjada en una cadena de crónicas de Indias. Así, el pasaje constituye un buen ejemplo del interés de Cervantes tanto por América como por su tradición historiográfica, al tiempo que también permite explicar la imagen ofrecida de la ciudad en contraste con otras negativas visiones coetáneas.