bluuebunny/crossref_metadata_2025 huggingface dataset:
UAV-BS Site Planning Based on Circular Coverage Strategy
Authors: Zhang Jingshuai , Tang Zhaoxiao , Liu Xinyi , Shen Yujie , Zheng Yongxing
Published: February 2025

Future mobile communication technology will be used to build an integrated global coverage network. Unmanned aerial vehicles (UAVs) are the first choice for low-altitude networks due to their low cost, flexibility, and ease of operation. The characteristics of UAVs also bring new challenges to communication networks, such as short flight time, complex networking, and unstable communication quality. Therefore, it has become an urgent problem to reasonably plan the location of UAV Base Stations (UAV-BSs), reduce communication power consumption, optimize network performance, and build an efficient and stable UAV communication network (UAVCN). The traditional strategy only pays attention to the signal coverage, and ignores the influence of system transmission power on the network, which reduces the performance of the communication system. In this study, a circular coverage power optimization strategy (CCPO) based on system transmit power is proposed. The mathematical model of the circular coverage problem is used to describe the full coverage process of the UAV base station to ground users, and the deployment optimization is carried out with the goal of minimizing system transmit power, so as to obtain an efficient and reliable site planning scheme. In this paper, the binomial power function is used to continuously fit the discrete solution of the circle covering problem, and the circle covering power optimization formula is rearranged. By analyzing the convexity of the objective function under the circular coverage model, the convex optimization theory is used to solve the objective problem, and the optimal deployment number of UAVs and site planning scheme under the circular coverage power optimization strategy are given. Simulation verifies the superiority of the proposed method. Compared with the traditional hexagon strategy and the minimum power loss strategy, the circular coverage power optimization station location planning strategy can save 14.75% and 6.52% of power resources, providing a valuable reference for the design and optimization of UAV communication systems. It provides a promising solution for further improving the performance and efficiency of UAVCNs.
Information Propagation and Bionic Evolution Control of the SEBAR Model in a Swarm System
Authors: Shen Yankai , Liu Xinan , Du Hong , Ma Xiao , Xin Long
Published: February 2025

To explore the coupling relationship between information propagation behaviors and evolution dynamics in swarm systems, this paper establishes the SEBAR model based on mean field theory with a macroscopic view of information dissemination. Then, the balance points and basic reproduction number are calculated and a proof of equilibrium stability from the point of view of system stability is given. In addition, the influence of model parameters on propagation behaviors is also analyzed. To stimulate the emergence of cooperative behaviors in a swarm system, a repeated “prisoner’s dilemma” game based on controllable individuals is proposed under the framework of bionic “soft control”. The combination of information propagation and game strategies is used to realize information regulation. The simulation results show that the proposed models and methods can reflect the information communication patterns and evolution characteristics. It also illustrates the viability and effectiveness of regulating information through the evolutionary game.
Impact of Low-Load High-Volume Initial Sets vs. Traditional High-Load Low-Volume Bench Press Protocols on Functional and Structural Adaptations in Powerlifters
Authors: González-Alcázar Francisco J. , Jiménez-Martínez Pablo , Alix-Fages Carlos , Ruiz-Ariza Alberto , Casuso Rafael A. , Varela-Goicoechea Jesús , García-Ramos Amador , Jerez-Martínez Agustín
Published: February 2025

This study aimed to investigate the effectiveness of low-load high-volume (LL-HV) resistance training compared to traditional high-load low-volume (HL-LV) protocols in eliciting functional and structural adaptations in powerlifters. Twenty-six well-trained male powerlifters were randomly assigned to LL-HV and HL-LV groups and participated in a 12-week supervised training intervention. The LL-HV protocol involved an initial bench press set performed at 45–60% of one-repetition maximum (1RM), with very high repetitions, while the HL-LV group performed the initial set at 75–90% of 1RM, following matched total training volume for accessory exercises. Both groups trained twice weekly, with identical proximity to failure based on repetitions in reserve (RIR). Functional outcomes included changes in bench press 1RM and mean velocity (MV) measured at various submaximal loads, while structural adaptations were assessed through arm and chest circumferences. Statistical analyses were conducted using a two-factor mixed analysis of variance (ANOVA) to assess the effects of “time” and “training group” on these outcomes. Percent changes were comparable between groups for most variables, with significant improvements observed in the LL-HV group for MV at 80% of 1RM and arm circumference. These findings suggest that LL-HV, emphasizing high-repetition sets, offers an effective alternative to HL-LV protocols for enhancing performance and structural adaptations in powerlifters.
Experimental Study on Mechanical Properties of Graded EPS–Steel Fiber-Reinforced Concrete
Authors: Wang Yangsheng , Zhuang Xinshan
Published: February 2025

This study designs the aggregate gradation and calculates the benchmark mix proportion of concrete based on two sets of regression coefficients. Copper-plated micro-steel fibers and graded EPS (expanded polystyrene) particles, with varying volume ratios of cementing materials, were incorporated into concrete specimens of C30, C40, and C50 grades made from fine aggregates and gravel. The specimens underwent compressive strength, flexural strength, and slump tests to investigate and analyze the effects of steel fibers and graded EPS on the mechanical properties of concrete. A modified equation for the similar bending-to-compression ratio coefficient was established, and a method for calculating the extreme value of the similar bending-to-compression ratio under the combined action of graded EPS and steel fibers was proposed, in order to predict the optimal dosage of steel fibers and graded EPS. The results show that for concrete of all grades (fine aggregate and gravel groups), the compressive and bending failure modes exhibited high consistency. After incorporating EPS, the specimens displayed some ductility during compressive failure, and compressive strength was negatively correlated with the volume fraction of EPS. As the volume fraction of EPS increased, the workability of the concrete decreased. At 7 days of curing, the uniaxial compressive strength of the concrete specimens was 60–75% of the 28-day strength. The tensile failure of graded EPS–steel fiber concrete was divided into four stages. For every 0.25% increase in steel fiber volume fraction, the increase in flexural strength was most likely between 14.35% and 17.61%, with the maximum growth rate being approximately 27%, and the distribution of growth rates was relatively dispersed. When applying the current bending-to-compression ratio model to calculate the flexural strength of concrete under the combined action of graded EPS and steel fibers, a significant deviation from the experimental values was observed. By introducing the modified similar bending-to-compression ratio coefficient equation, a conversion relationship between compressive strength and flexural strength was established. The adjusted R-value was 0.989, and a comparison of the predicted values with the experimental results showed high accuracy, offering considerable reference value.
Beyond Needling: Integrating a Bayesian Brain Model into Acupuncture Treatment
Authors: Kang Beomku , Yoon Da-Eun , Ryu Yeonhee , Lee In-Seon , Chae Younbyoung
Published: February 2025

Acupuncture is a medical tool in which a sterile needle is used to penetrate and stimulate a certain body area (acupoint), inducing a series of sensations such as numbness, dullness, or aching, often referred to as de-qi. But is that all? In this article, we adopt a Bayesian perspective to explore the cognitive and affective aspects of acupuncture beyond needling, specifically, how the body integrates bottom-up sensory signals with top-down predictions of acupuncture perception. We propose that the way in which we discern acupuncture treatment is the result of predictive coding, a probabilistic, inferential process of our brain. Active inference from both prior experience and expectations of acupuncture, when integrated with incoming sensory signals, creates a unique, individual internal generative model of our perception of acupuncture. A Bayesian framework and predictive coding may, therefore, aid in elucidating and quantifying the cognitive components of acupuncture and facilitate understanding of their differential interactions in determining individual expectations of treatment. Thus, a perception-based Bayesian model of acupuncture presented in this article may expand on how we perceive acupuncture treatment, from simply inserting needles into our body to one that encompasses a complex healing process supported by belief and hope of regaining health. By exploring how cognitive factors influence individual responsiveness to acupuncture treatment, this review sheds light on why acupuncture treatment is more effective in some individuals than in others.
Patient-Specific Solutions for Cranial, Midface, and Mandible Reconstruction Following Ablative Surgery: Expert Opinion and a Consensus on the Guidelines and Workflow
Authors: Rana Majeed , Buchbinder Daniel , Aniceto Gregorio Sánchez , Mast Gerson
Published: February 2025

Reconstruction of cranio-maxillofacial defects following ablative surgeries requires a comprehensive approach that balances functional restoration with aesthetic outcomes. Advances in computer-aided design and manufacturing (CAD/CAM) technology have revolutionized this field, enabling precise preoperative planning, including 3D modeling, segmentation, and virtual resection planning. These methods allow for the production of patient-specific implants and surgical templates while facilitating the evaluation of treatment outcomes. CAD/CAM technology offers numerous benefits, such as enhanced surgical accuracy, improved aesthetic results, reduced operative times, and the possibility of single-stage resection and reconstruction. However, limitations exist, including high costs, the need for specialized expertise, and dependency on accurate imaging data. This paper provides a surgeon-centric evaluation of the advantages and limitations of CAD/CAM in cranio-maxillofacial reconstruction. The discussion encompasses the technological workflow, clinical applications, and recommendations for optimizing outcomes. Future perspectives highlight ongoing developments, such as integrating non-ionizing imaging techniques and expanding the applicability of virtual and augmented reality. By synthesizing technical advancements and clinical expertise, this review aims to establish practical guidelines for implementing CAD/CAM technology in routine surgical practice.
Assessing Above-Ground Biomass Dynamics and Carbon Sequestration Potential Using Machine Learning and Spaceborne LiDAR in Hilly Conifer Forests of Mansehra District, Pakistan
Authors: Imran Muhammad , Zhou Guanhua , Jing Guifei , Xu Chongbin , Tan Yumin , Ishaq Rana Ahmad Faraz , Lodhi Muhammad Kamran , Yasinzai Maimoona , Akbar Ubaid , Ali Anwar
Published: February 2025

Consistent and accurate data on forest biomass and carbon dynamics are essential for optimizing carbon sequestration, advancing sustainable management, and developing natural climate solutions in various forest ecosystems. This study quantifies the forest biomass in designated forests based on GEDI LiDAR datasets with a unique compartment-level monitoring of unexplored hilly areas of Mansehra. The integration of multisource explanatory variables, employing machine learning models, adds further innovation to the study of reliable above ground biomass (AGB) estimation. Integrating Landsat-9 vegetation indices with ancillary datasets improved forest biomass estimation, with the random forest algorithm yielding the best performance (R2 = 0.86, RMSE = 28.03 Mg/ha, and MAE = 19.54 Mg/ha). Validation with field data on a point-to-point basis estimated a mean above-ground biomass (AGB) of 224.61 Mg/ha, closely aligning with the mean ground measurement of 208.13 Mg/ha (R2 = 0.71). The overall mean AGB model estimated a forest biomass of 189.42 Mg/ha in the designated moist temperate forests of the study area. A critical deficit in the carbon sequestration potential was analysed, with the estimated AGB in 2022, at 19.94 thousand tons, with a deficit of 0.83 thousand tons to nullify CO2 emissions (20.77 thousand tons). This study proposes improved AGB estimation reliability and offers insights into the CO2 sequestration potential, suggesting a policy shift for sustainable decision-making and climate change mitigation policies.
Rheological Characterization of Magnetorheological Fluids for Brake Applications: An Experimental Procedure
Authors: Peruzzi Guglielmo , Imberti Giovanni , de Carvalho Pinheiro Henrique , Tsantilis Lucia , Sethi Rajandrea , Santagata Ezio
Published: February 2025

This work focused on the development of a complete laboratory procedure for the rheological characterization of magnetorheological fluids (MRFs) by combining information gained from the literature and practical work performed in the laboratory. The procedure developed involves all the experimental stages for a comprehensive analysis, starting from the sample preparation, choice of the optimal measuring system, definition of the test, and rheometric parameters for the execution of an accurate and reliable analysis. Magnetorheology is a critical approach for studying the field-dependent properties of MRFs; however, measurement errors, often stemming from inappropriate rheometric test parameters, pose significant challenges. Additionally, sedimentation, caused by the large density mismatch between magnetic particles and the carrier fluid, presents a major obstacle that can compromise the analysis. Extensive work was performed for selecting the test parameters as well as defining the most relevant type of analysis to conduct with the defined procedure for the definition of the essential properties of an MRF for braking applications. This work is essential for the development of accurate card material for simulation tools, paving the way for broader utilization of MRFs in cutting-edge technologies.
Chemical Evolution of Life on Earth
Authors: Lei Lei , Burton Zachary Frome
Published: February 2025

Background/Objectives: The origin of genes and genetics is the story of the coevolution of translation systems and the genetic code. Remarkably, the history of the origin of life on Earth was inscribed and preserved in the sequences of tRNAs. Methods: Sequence logos demonstrate the patterning of pre-life tRNA sequences. Results: The pre-life type I and type II tRNA sequences are known to the last nucleotide with only a few ambiguities. Type I and type II tRNAs evolved from ligation of three 31 nt minihelices of highly patterned and known sequence followed by closely related 9 nt internal deletion(s) within ligated acceptor stems. The D loop 17 nt core was a truncated UAGCC repeat. The anticodon and T 17 nt stem-loop-stems are homologous sequences with 5 nt stems and 7 nt U-turn loops that were selected in pre-life to resist ribozyme nucleases and to present a 3 nt anticodon with a single wobble position. The 7 nt T loop in tRNA was selected to interact with the D loop at the “elbow”. The 5′-acceptor stem was based on a 7 nt truncated GCG repeat. The 3′-acceptor stem was based on a complementary 7 nt CGC repeat. In pre-life, ACCA-Gly was a primitive adapter molecule ligated to many RNAs, including tRNAs, to synthesize polyglycine. Conclusions: Analysis of sequence logos of tRNAs from an ancient Archaeon substantiates how the pre-life to life transition occurred on Earth. Polyglycine is posited to have aggregated complex molecular assemblies, including minihelices, tRNAs, cooperating molecules, and protocells, leading to the first life on Earth.
Vertically Moving Target Localization Based on Interference Feature Matching Using a Single Hydrophone
Authors: Zhao Chunpeng , Liang Guolong , Qiu Longhao , Wang Jinjin , Dong Wenfeng
Published: February 2025

To address the performance degradation of traditional underwater target localization algorithms in high-speed motion scenarios, this paper proposes a vertically moving localization method based on interference feature matching using a single hydrophone. Due to the overlapping of interference fringes in the time–frequency domain, the method first employs a two-dimensional homomorphic filter to separate different types of interference fringes while removing line-spectrum interference. Then, a theoretical interference period database is constructed, and feature matching is performed on the interference fringes to achieve localization of the vertically moving target. Simulation results show that, under conditions of strong broadband noise and line-spectrum interference, the proposed method effectively separates and restores the interference fringes of high-speed vertically moving targets and successfully locates the moving target under large Doppler conditions. Further validation using field data from Qiandao Lake confirms that the actual measurements align with theoretical analysis, validating the effectiveness of the proposed method.
Finite Element Analysis of Functionally Graded Mindlin–Reissner Plates for Aircraft Tapered and Interpolated Wing Defluxion and Modal Analysis
Authors: Hajjia Ali , Gouzi Mohammed Berrada , Harras Bilal , El Khalfi Ahmed , Vlase Sorin , Luminita Maria
Published: February 2025

This paper explores and discusses how wing structures vibrate by using the Mindlin–Reissner plate theory, which takes into consideration the effects of transverse shear deformation and rotary inertia. This theory works well for thicker structures, like aircraft wings, where it gives accuracy by detecting shear and rotation effects. FGMs, or functionally graded materials, are used in aviation to enhance structural patterns and reduce stress points by gradually changing material properties along the wing thickness based on the volume fraction index. Finite element method (FEM) simulations were conducted to compare the natural frequencies and mode shapes of tapered and interpolated wing geometries. The results indicate that interpolated meshes exhibit higher natural frequencies due to increased stiffness, whereas tapered meshes show lower frequencies due to their flexibility. Validation through ANSYS simulations confirms the accuracy of the FEM results, highlighting the influence of geometry and material gradation on vibrational behavior. The findings offer valuable insights for aerospace applications, supporting the development of lightweight and efficient wing designs.
Influence of Cooling Rate on the Flexural and Impact Properties of Compression Molded Non-Woven Flax/PLA Biocomposites
Authors: Pisupati Anurag , Curto Marco , Laurent Thomas , Cosson Benoit , Park Chung Hae , Dhakal Hom Nath
Published: February 2025

This work investigates the influence of crystallinity on the mechanical properties of needle-punched non-woven flax/polylactic acid (PLA) biocomposites with different flax fiber contents. Biocomposites were fabricated by a compression molding adopting different cooling rates to understand the mechanism of crystallinity and their contribution to the mechanical properties. Image-based analysis of the fiber distribution in non-woven preform indicates the probable origins of the residual porosities and the potential nucleation sites for crystal formation within the composites. The improvement of 25% and 100% in flexural modulus is observed for the composites with 40% and 50% of flax fiber mass fractions, respectively, when subjected to a lower cooling rate, which implies the significant influence of the void content on the brittleness of composites. The impact properties of the composites decrease from 11% to 18% according to the flax fiber mass fraction when the cooling rate decreases to 1 °C/min, and the composites become more brittle. The induced impact and flexural properties of the composites are compared with those of other composites in the literature to emphasize their applicability to semi-structural applications.
Hyperspectral Image Segmentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN
Authors: Justo Jon Alvarez , Langer Dennis D. , Berg Simen , Nieke Jens , Ionescu Radu Tudor , Kjeldsberg Per Gunnar , Johansen Tor Arne
Published: February 2025

AI on spaceborne platforms optimizes operations and increases automation, crucial for satellites with limited downlink capacity. It can ensure that only valuable information is transmitted, minimizing resources spent on unnecessary data, which is especially important in hyperspectral Earth Observation missions, producing large data volumes. Our previous work showed that the 1D-CNN, 1D-Justo-LiuNet, outperformed 2D-CNNs and Vision Transformers for hyperspectral segmentation with an accuracy of 0.93 and 4563 parameters, making our model the best choice for in-orbit deployment. While the state of the art has deployed 1D-CNNs on low-power platforms, such as Unmanned Aerial Vehicles, they have still not been deployed in space before. In this work, we mark the first deployment and testing of a 1D-CNN in a satellite. We implement a C version of the 1D-Justo-LiuNet and, after ground validation, we deploy it on board the HYPSO-1 satellite. We demonstrate in-flight segmentation of hyperspectral images via the 1D-CNN to classify pixels into sea, land, and cloud categories. We show how in-orbit segmentation improves satellite operations, increases automation, and optimizes downlink. We give examples of how in-orbit segmentation addresses mission challenges in HYPSO-1, such as incomplete data reception, incorrect satellite pointing, and cloud cover, helping to decide whether to transmit or discard data on board. An additional CNN autonomously interprets the segmented images, enabling on-board decisions on data downlink.
Smart Textile Technology for the Monitoring of Mental Health
Authors: Fernandes Shonal , Ramos Alberto , Vega-Barbas Mario , García-Vázquez Carolina , Seoane Fernando , Pau Iván
Published: February 2025

In recent years, smart devices have proven their effectiveness in monitoring mental health issues and have played a crucial role in providing therapy. The ability to embed sensors in fabrics opens new horizons for mental healthcare, addressing the growing demand for innovative solutions in monitoring and therapy. The objective of this review is to understand mental health, its impact on the human body, and the latest advancements in the field of smart textiles (sensors, electrodes, and smart garments) for monitoring physiological signals such as respiration rate (RR), electroencephalogram (EEG), electrodermal activity (EDA), electrocardiogram (ECG), and cortisol, all of which are associated with mental health disorders. Databases such as Web of Science (WoS) and Scopus were used to identify studies that utilized smart textiles to monitor specific physiological parameters. Research indicates that smart textiles provide promising results compared to traditional methods, offering enhanced comfort for long-term monitoring.
MILD: Minimizing Idle Listening Energy Consumption via Down-Clocking for Energy-Efficient Wi-Fi Communications
Authors: Park Jae-Hyeon , Suh Young-Joo , Kim Dongdeok , Lee Harim , Ahn Hyeongtae , Park Young Deok
Published: February 2025

Mobile devices, such as smartphones and laptops, face energy consumption challenges due to battery limitations, with Wi-Fi being one of the major sources of energy consumption in these devices. The IEEE 802.11 standard addresses this issue with Power Saving Mode (PSM), which reduces power consumption but increases latency. To mitigate this latency, Adaptive-PSM (A-PSM) dynamically switches between PSM and Constantly Awake Mode (CAM); however, the associated Idle Listening (IL) process still results in high energy consumption. Various strategies have been proposed to optimize IL time; however, Medium Access Control (MAC)-level contention and network delays limit their effectiveness. To overcome these limitations, we propose MILD (Minimizing Idle Listening energy consumption via Down-clocking), a novel scheme that reduces energy consumption without compromising throughput. MILD introduces specialized preambles for Packet Arrival Detection (PAD) and Device Address Recognition (DAR), allowing the client to operate in a down-clocked state during IL and switch to full clocking only when necessary. Experimental results demonstrate that MILD reduces energy consumption by up to 23.6% while maintaining a minimal throughput loss of 12.5%, outperforming existing schemes.
Local and Indirect Water Scarcity Risks Under Climate Change in the Yellow River Basin: A Virtual Water Flow Perspective
Authors: Zhang Yuqian , Yin Yunhe , Zhang Xufang , Yin Mijia
Published: February 2025

Assessing water scarcity risks under climate change has become an important research topic for sustainable development. Regional water scarcity is driven not only by direct local water deficits but also by indirect effects from upstream supply chains. Despite their significance, existing studies seldom integrate both local water scarcity and indirect water scarcity comprehensively. This study utilizes multi-regional input–output tables (MRIO) to quantify virtual water flows among eight provinces in the Yellow River Basin, elucidating the extent of local (WSI) and indirect water scarcity (IWS) from 2007 to 2017. Leveraging Representative Concentration Pathway (RCP) projections and Shared Socioeconomic Pathway (SSP) scenarios, the research further projects future virtual water flow patterns and associated water scarcity risks in the Yellow River Basin from the 2020s to the 2090s. Findings reveal that downstream provinces (Shandong, Henan, Shanxi) experience more severe water scarcity—both locally and indirectly—than upstream regions (Inner Mongolia, Gansu). Local water scarcity surpasses indirect scarcity, with the agricultural sector predominantly driving IWS, accounting for 76.1% to 91.3%. Additionally, downstream provinces facing severe water scarcity not only exhibit high local water use but also rely on imports from middle and upper regions grappling with water shortages. Under SSP1-RCP2.6 and SSP5-RCP8.5 scenarios, water scarcity risks in the Yellow River Basin are projected to intensify, with the overall WSI potentially reaching 0.59 and IWS attaining severe levels of 0.42 by the 2050s. This study enhances the understanding of water scarcity risks in arid and semi-arid regions, providing valuable insights for policymakers to develop more climate-resilient water-resource management strategies.
Exílio clerical e redes de comunicação na África vândala
Authors: Nascimento Giovan do
Published: February 2025

O presente artigo é uma discussão sobre os efeitos do exílio clerical sobre as redes de comunicação dos clérigos exilados na África Vândala. O artigo desenvolve um estudo de caso sobre um clérigo exilado pelo rei vândalo Trasamundo no final do ano de 508 ou início de 509, Fulgêncio de Ruspe, por meio de suas cartas, tratados, bem como de uma biografia sobre ele escrita por um de seus discípulos depois de sua morte, em 533. O problema que orienta o estudo consiste em indagar os diversos fatores que auxiliaram o aprofundamento e a expansão dos contatos de Fulgêncio com interlocutores importantes de localidades diversas do Mediterrâneo no exílio. Argumenta-se que a expansão das redes de comunicação de Fulgêncio no exílio dependeram de seus recursos sociais prévios, derivados de sua pertença a uma família de origens senatoriais, de relações diplomáticas entre Igrejas de localidades distintas, bem como de sua capacidade de aproveitar numerosas oportunidades concretas de comunicação que foram abertas a ele a partir de situações específicas.
Abordagens ecocríticas das antiguidades
Authors: Anjos Sara Camila Barbosa dos
Published: February 2025

O texto propõe uma crítica ao antropocentrismo das metodologias tradicionais de estudo das antiguidades (mesopotâmica e greco-romana). Após delinear uma breve revisão bibliográfica, revisita trabalhos recentes de ecocrítica aplicados a esses campos de estudo. Em seguida, oferece uma contribuição a esse debate, mostrando como uma perspectiva ecológica suscita uma outra compreensão de um episódio central da Epopeia de Gilgámesh: a destruição de Humbaba, Guardião da Floresta de Cedros.
A literatura ocupando espaços
Authors: Gomes Cristhyan Emanoel Monteiro , Silva Samara Cristina Guimarães Lameira
Published: February 2025

O presente artigo deriva de um projeto de intervenção construído na disciplina “Estágio Supervisionado II”, do curso de Letras Língua Portuguesa, da Universidade do Estado do Pará (UEPA). Dessa forma, esta pesquisa se dispõe a explanar acerca do lugar desvalorizado da literatura no currículo do Ensino Médio de uma escola pública de Belém, em paralelo com as práticas de leitura. Assim, o objetivo central é reconhecer a importância da literatura em suas diferentes manifestações e espaços em que é expressa. Para isso, o instrumental teórico utilizado apoia-se, especialmente, nas discussões esboçadas por Cosson (2014), Larossa (2017), Perrone-Moisés (2017) e Petit (2009; 2019). Ademais, a metodologia da pesquisa é concebida por meio de uma pesquisa ação, além de períodos de observação do lócus e entrevistas. Como resultados almejados, espera-se o reconhecimento da importância da literatura, a ampliação do repertório literário dos alunos e o repensar sobre as práticas pedagógicas no que concerne à literatura.
Demonstration of InGaN full-color monolithic micro-LED display using stacking and selective removal of the light-emitting layer
Authors: Goshonoo Koichi , Okuno Koji , Ohya Masaki
Published: February 2025

A full-color monolithic micro-light-emitting diode (LED) display based on InGaN quantum wells is demonstrated. We stacked red, green, and blue (RGB) light-emitting layers and selectively removed and regrew a p-type layer to create distinct areas on a single chip that emitted RGB colors. Subsequently, we fabricated a full-color monolithic micro-LED chip with a pixel pitch of 30 μm and pixel number of 96 × 96. Each color subpixel emits light with a single peak. We obtained a full-color image by driving the chip using a microcontroller. The proposed semiconductor process-based method enables the fabrication of low-cost and high-resolution microdisplays.
Elvis: A Highly Scalable Virtual Internet Simulator
Authors: Boddu Dheeraj Kumar
Published: February 2025

Elvis is a highly scalable virtual Internet simulator that can simulate up to a hundred thousand networked machines communicating over TCP/IP on a single off-the-shelf desktop computer. This research describes the construction of Elvis in Rust, a new memory-safe systems programming language, and the design patterns that enabled us to reach scalability targets. Traffic in the simulation is generated from models based on user behavior research and profiling of large web servers. Additionally, a Network Description Language (NDL) was designed to describe large Internet simulations.
Vulneración del derecho humano a la seguridad pública en México
Authors: Mandujano Reyes Yamile Deyanira
Published: February 2025

Se expone un análisis de datos estadísticos que ayudarán al entendimiento de la seguridad en México y a comprobar si existe una vulneración del derecho humano a la seguridad pública, utilizando en su mayoría una técnica documental, así como los métodos jurídico y sistemático, para llegar a la conclusión general que revela el hecho de que el Estado mexicano, al menos en los últimos años, no ha logrado garantizar ese derecho humano a la seguridad pública de su población, a pesar de todos los esfuerzos realizados para lograrlo.
Les Obstacles Rencontrees Par Les Apprenants Du College En Mathematiques Et Les Solutions Proposees L’ia : Utilisation Et Conception Des Serious Game
Authors: - AZIZ SIFI
Published: February 2025

Les enseignants sont confrontés à de nombreux défis en matière de mathématiques au collège, souvent associés à des problèmes de compréhension et de motivation. Face à ces obstacles, les méthodes pédagogiques traditionnelles mettent en évidence leurs limites, ce qui pousse à explorer de nouvelles approches. Les jeux sérieux, qui allient des aspects divertissants et éducatifs, se présentent comme une solution novatrice pour susciter l'intérêt des élèves et faciliter leur apprentissage.
Outre la stimulation de l'engagement des élèves, ces jeux proposent un cadre interactif qui encourage la résolution de problèmes. L'IA offre la possibilité d'ajuster ces jeux en fonction des besoins spécifiques des apprenants.
Toutefois, la réussite de cette approche est conditionnée par l'accompagnement des enseignants et des parents, ainsi que par sa complémentarité avec les approches pédagogiques traditionnelles. Les recherches à venir devraient porter sur l'évaluation à long terme de l'effet des jeux sérieux sur la motivation et la performance des élèves, sur la conception de jeux plus sophistiqués afin de cibler des obstacles mathématiques spécifiques, et sur l'intégration des jeux sérieux dans les politiques éducatives pour une adoption généralisée dans les écoles.
‘Bal Geet’ and ‘Chetna Geet’ as an Art Integrated Learning Approach to transforming the school Education: An Action Research
Authors: - Jagadish Biswal
Published: February 2025

The current paper is an outcome of one of the ambitious project of investigator while doing his Gandhi Fellowship in Piramal Foundation, the School Ecosystem Immersion (SEI) Programme which was carried out by the investigator at UMS Rampur School in the Katihar district of Bihar. In this project, two interventions, ‘Bal Geet’ and ‘Chetna Geet’ were used in an art integrated approach. The key objectives of the SEI process is to create an effective and joyful learning environment for children, as well as to see if it aids in increasing the student attendance and retention in school. For this study, an Action research method was used. Both the interventions were first shown by the investigator, and then it was conducted by the teachers and students. The whole data was collected through participatory observations & interviews and analysed using the thread-ware discussion. The findings of the study indicated that both the intervention, ‘Bal Geet’ and ‘Chetna Geet’ not only create an engaging and joyful learning environment among students, but also aid to increase their attendance and retention in school. It has developed in pupils a sense of collaboration, coordination, communication, and responsibility. The intervention ‘Bal Geet’ was found to be an effective pedagogy for interactive teaching learning process, where teacher was connecting the students from ‘Bal Geet’ to other academic content. One central implication of the study will be fruitful for both pre-service and in-service teachers in terms of how to make the teaching-learning process more effective and enjoyable by adopting such art-integrated learning approach. Both pre-service and in-service teachers should be given training in this regard to implement such practices in the classroom.
Traditional Food and Beverage Knowledge of the Kamar of Chhattisgarh state: An exploratory study
Authors: - Bhumika Raj Sonwane , - Ashok Pradhan
Published: February 2025

This study explores the Traditional food and Beverage of the Kamar, a Particularly Tribal Group in Chhattisgarh state, emphasizing its significance for community health and cultural identity. It encompasses the local food systems that are culturally acceptable and derived from the natural environment, crucial for sustaining healthy communities. The research highlights the socio-cultural meanings, processing techniques, and nutritional benefits associated with traditional foods, such as millet, green leafy vegetables, and beverages rich in vitamins and minerals. It also documents the preparation methods. The use of Mahua fruit for alcoholic beverages and Mandiyo Pej non-alcoholic summer drinks showcases the resilience of these practices in the face of modern dietary changes. The findings reveal that traditional food practices are not only vital for nutrition but also play a significant role in community building, healthcare, and cultural rituals. However, the research underscores the risk of losing traditional knowledge of food and beverages as the young generation is facing challenges due to modernization and changing dietary preferences. Despite these challenges, there is an opportunity for them to revive interest in traditional food and beverages. By recognizing the nutritional and medicinal benefits of these foods, they can play a pivotal role in promoting traditional food and beverages, ensuring their relevance in contemporary society. This exploration serves as a reminder of the interconnectedness of food, culture, and health, advocating for recognition and revitalization of traditional food systems for future generations.
Effectiveness of Benson’s Relaxation Therapy on Stress and Anxiety among Post Caesarean Mothers in selected Hospitals, Lucknow
Authors: - Neha Martin , - Sonia Agnes Singh , - Rubi Pal , - Polisetti Maryteena , - Amit Martin
Published: February 2025

Abstract-
This research aimed to investigate the anxiety and stress levels among the post caesarean mothers in experimental and control group. Many mothers face some discomfort after caesarean section like pain, mood changes, postpartum depression and stress. Anxiety and stress levels were evaluated by using quantitative research approach with quasi experimental pre-test and post-test control group design and by using non probability purposive sampling technique, total 30 subjects {Experimental group (15) and Control group (15)} were recruited. The intervention was given to the experimental group twice in a day for four consecutive days. Benson’s relaxation therapy was used to get the anxiety and stress results of the caesarean mothers.
The subjects were examined by using SPSS version 20. The t-test was used to analyses the data. The p-value less than 0.05 were considered as significant level. The standard deviation of stress for experimental and control group is 6.734 and 9.841and the t value is 23.667 and for anxiety the standard deviation of experimental and control group is 4.329 and 3.195 and the t value 16.219. The mean stress score for experimental group reduced from 97.40 to 27.27 while in control group it was 101.33 at pre-intervention and 100.13 at follow-up. The mean anxiety score for the experimental group reduced from 55.00 to 35.20 while in control group it was 57.87 at pre-intervention and 57.73 at follow-up of the patients. This proves that there is a significant difference in the pre and post- test level score of stress and anxiety in experimental and control group.
The Role of Raj Yoga Meditation in Stress Management Among Industrial Employees
Authors: - Manoj Kumar Kotwal , - Dr. Vasudha Kulshareshtha
Published: February 2025

Abstract
This study investigates the role of Rajyoga meditation in stress management among industrial employees. Industrial work environments often present unique stressors such as heavy workloads, job targets, interpersonal conflicts, rigid work styles, communication barriers, and digital addiction. Rajyoga meditation, which focuses on mental and emotional well-being, has shown promise as an effective tool for stress reduction. This paper synthesizes existing literature on the effectiveness of Rajyoga meditation in industrial settings and explores its potential as a stress management intervention. The findings suggest that Rajyoga meditation can significantly reduce stress and improve overall well-being among industrial employees.
Gastronomi ve Sağlık Turizmi Yönüyle Adana
Authors: Oğuz Sibel , Buzcu Zafer
Published: February 2025

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Non-de dicto construals as a unified phenomenon
Authors: Mayr Clemens , Schmitt Viola
Published: February 2025

The interpretation of expressions in the scope of intensional operators μ is not always relativized to the quantificational domain of μ. The literature has identified several such phenomena, subsumed here under ‘non-de dicto (NDD)’- construals. Based on novel data, we argue contra most existing accounts that (i) different kinds of NDD-construals (der re and transparent construals of predicates) must be derived by the same mechanism, (ii) this mechanism should involve replace- ment of meanings of the sub-constituents of the clause embedded by the intensional operator, (iii) replacement is constrained in that different replacements cannot lead to different answers to the QUD, and (iv) NDD-construals are not grammatically individuated, i.e., they do not ‘live off’ a structure distinct from the one that yields us meanings without NDD. We then sketch a proposal that captures these properties.
Sistema de Termofluidos con Refrigeración direccionado a la Conservación de Alimentación de Bajo Costo
Authors: Morales Villegas Hernán Vinicio , Basantes Guamushig Alex Darío , Camacho Ramírez Christian Fabricio , Moreno Rueda David Aldair , Nieto Jara Miguel Andrés
Published: February 2025

Este proyecto desarrolla un sistema de termo fluidos con refrigeración de bajo costo para la conservación de alimentos, diseñado especialmente para comunidades de bajos recursos. Basado en la tecnología de refrigeración por compresión de vapor, utiliza un compresor, un condensador, un dispositivo de expansión y un evaporador para mantener temperaturas entre 2 °C y 8 °C, ideales para alimentos frescos. La innovación del diseño radica en la selección de materiales económicos y refrigerantes ecológicos, reduciendo costos y el impacto ambiental. Además, el sistema es energéticamente eficiente, compatible con fuentes de energía alternativas como paneles solares, lo que lo hace viable en zonas rurales o con acceso limitado a la electricidad. El diseño es modular, compacto y de fácil mantenimiento, permitiendo su fabricación local y reparaciones sencillas. Durante pruebas iniciales, demostró ser eficiente en el consumo energético, competitivo frente a sistemas comerciales más costosos. Este sistema no solo prolonga la vida útil de los alimentos, reduciendo el desperdicio, sino que también tiene un impacto social y económico positivo, al generar empleo local y mejorar la calidad de vida en comunidades vulnerables. Próximas etapas incluirán la optimización del diseño y pruebas piloto para validar su implementación a mayor escala.
Planets Around Solar Twins/Analogs (PASTA). I. High-precision Stellar Chemical Abundances for 17 Planet-hosting Stars and the Condensation Temperature Trend*
Authors: Sun Qinghui , Wang Sharon Xuesong , Gan Tianjun , Ji Chenyang , Lin Zitao , Ting Yuan-Sen , Teske Johanna , Li Haining , Liu Fan , Hua Xinyan , Tang Jiaxin , Yu Jie , Zhang Jiayue , Badenas-Agusti Mariona , Vanderburg Andrew , Ricker George R. , Vanderspek Roland , Latham David W. , Seager Sara , Jenkins Jon M. , Schwarz Richard P. , Guillot Tristan , Tan Thiam-Guan , Conti Dennis M. , Collins Kevin I. , Srdoc Gregor , Stockdale Chris , Suarez Olga , Zambelli Roberto , Radford Don , Barkaoui Khalid , Evans Phil , Bieryla Allyson
Published: February 2025

The Sun is depleted in refractory elements compared to nearby solar twins, which may be linked to the formation of giant or terrestrial planets. Here we present high-resolution, high signal-to-noise spectroscopic data for 17 solar-like stars hosting planets, obtained with Magellan II/MIKE, to investigate whether this depletion is related to planet formation. We derive stellar parameters, including stellar atmosphere, age, radius, mass, and chemical abundances for 22 elements from carbon to europium through line-by-line differential analysis. Our uncertainties range from 0.01 dex for Fe and Si to 0.08 dex for Sr, Y, and Eu. By comparing the solar abundances to those of the 17 stars, we investigate the differential abundance ([X/Fe]solar–[X/Fe]star) versus condensation temperature (T

c
) trend. In particular, we apply Galactic chemical evolution corrections to five solar twins within the full sample. Our results conform to previous studies that the Sun is relatively depleted in refractory compared to volatile elements. For both five solar twins and the rest of the solar-like stars, we find that all stars hosting known gas giant planets exhibit negative T

c
trend slopes, suggesting that the Sun is relatively depleted in refractory elements compared to similar giant planet-hosting stars. Additionally, we find no correlation between T

c
trend slopes and the total mass of detected terrestrial planets in each system, suggesting that terrestrial planet formation may not be the cause of refractory element depletion in the Sun.
L’hypothèse de la convergence de toute science dans l’ordinateur, par la force de la méthode
Authors: Billion Arnaud
Published: February 2025

L’article cherche à apporter une explication à la polysémie de la notion de donnée. Il formule, pour ce faire, l’hypothèse de la convergence : sous la force de la méthode scientifique, toutes les sciences s’atomiseraient d’elles-mêmes en informatique, et les divers types de donnée (jusqu’à la donnée numérique) correspondraient à divers stades de cette atomisation. Pour prouver cette hypothèse, la méthode scientifique est d’abord positionnée dans la société plutôt que dans sa pureté idéelle. Ainsi concrètement, la science est sujette à une tension prescriptive que l’on reconnaît dans la méthode juridique, ce que manifeste l’histoire du terme « loi naturelle ». Cela posé, on peut s’interroger sur le rôle de la mathématique dans la translation de toute science dans un ordinateur du fait de la méthode. Une déperdition en rationalité est induite. Prenant un pas de recul, on peut enfin relever l’incapacité des critères scientifiques plus évaluatifs à freiner l’accomplissement informatique de toute science. Discipline : DROIT DE L’INFORMATIQUE
La construction juridique d’un marché européen des données
Authors: Fériel Louis
Published: February 2025

Le droit du marché européen des données poursuit l’objectif de renforcer la circulation et le partage des données tout en maintenant les exigences de protection. Nouvel élément structurant de la politique numérique de l’Union, ce droit du marché des données trace une voie autonome distincte des modèles de régulation des États-Unis et de la Chine. L’étude des textes juridiques récemment adoptés et en cours d’adoption permet de mettre l’accent sur l’originalité du marché européen des données, axé sur des dispositifs de partage volontaire, mais aussi imposé, de celles-ci. Le droit de l’Union détaille également des modalités de mise en œuvre spécifiques, notamment centrées sur l’enjeu essentiel de la confiance numérique et l’instauration progressive d’espaces européens communs de partage des données. Discipline : DROIT