bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morphological classification method and data-driven estimation of the joint roughness coefficient by consideration of two-order asperity
Authors: Hu Yunpeng , Feng Wenkai , Li Wenbin , Yi Xiaoyu , Liu Kan , Ye Longzhen , Zhao Jiachen , Lu Xianjing , Zhang Ruichao 
Published: July 2023

AbstractThe roughness of the joint surface plays a significant role in evaluating the shear strength of rock. The waviness (first-order) and unevenness (second-order) of natural joints have different effects on the characterization of joint surface roughness. To accurately quantify the influence of the two-order asperity on the joint roughness coefficient (JRC) prediction of joint surface profile curve, the optimal sampling interval of the asperity was determined through the change of theRp{R}_{{\rm{p}}}value of the joint surface profile curve. The separation of the two-order asperity of 48 joint surface profile curves was completed at the optimal sampling interval, and morphological parameters of the asperity such asiave{i}_{{\rm{ave}}},Rmax{R}_{{\rm{\max }}}, andRp{R}_{{\rm{p}}}were counted from three aspects: asperity angle of the profile curve, asperity degree, and the trace length. Based on the statistical results of the morphological parameters considering the two-order asperity, the new nonlinear prediction models were proposed. The results showed that the curve slope mutation point SI = 2 mm is the optimal separation distance of the two-order asperity of the joint surface profile curve. The refined separation method that considers the waviness and unevenness of morphological parameters can characterize the detailed morphological features of the joint surface in more dimensions. The support vector regression (SVR) and random forest (RF) models that take into account a two-order asperity separated results have higher accuracy than traditional models. The prediction accuracy has improved by 7–8% in SVR model compared with SVR(SO) and RF(SO). The SVR nonlinear model that considering separation of two-orders of joint surface roughness is more suitable for the prediction of JRC.
Teaching Philosophy: Finding a Balance between the Factors that Motivate Philosophy, Students’ Imagination, and their Interests
Authors: Iannone Abel Pablo 
Published: July 2023

AbstractThis paper asks: What is philosophy and what are some current challenges and future prospects for pursuing and teaching it? What role can and should students’ imagination, interests, and circumstances play in addressing these challenges and prospects? It argues, first, that there are at least six senses of the term “philosophy”: the personal, social, branch of inquiry, theory, school of thought, and wise sayings senses; second, that a variety of stimuli contribute to motivate philosophy in all of its senses. Third, it argues that teaching philosophy involves not just teaching one or more philosophies historically held, nor just partially or totally defending one or another of these philosophies; but also engaging in the third sense of “philosophy” above listed: philosophy as a branch of inquiry. Finally, the paper argues that by relying on the interests of philosophy learners that match the stimuli motivating philosophy, philosophy teaching sensitizes philosophy learners to the grounds that make this investigation viable and promising, and motivates them to engage in it.
Optimal system of solution using group invariance technique for shock wave in a non-ideal self-gravitating gas in rotating medium in presence of magnetic field
Authors: Nath Gorakh , Maurya Abhay 
Published: July 2023

Abstract
This work demonstrates the study of the optimal system of solutions for shock wave propagation in a non-ideal self-gravitating gas in rotating medium with magnetic field (axial or azimuthal) for the adiabatic flow in cylindrical geometry by applying the group invariance technique. Using the group invariance technique, we have obtained the one-dimensional (1-D) optimal system of sub-algebra for the basic governing equations. The infinitesimal group optimal classes are obtained and the similarity solution in four possible cases (two cases for perfect gas and two cases for non-ideal gas) with exponential law shock path are discussed. The numerical solution by using the Runge Kutta 4th order method is obtained and the distribution of physical variables are shown via graph. The impact of the rotational parameter, non-idealness parameter, shock Cowling number, similarity exponent and gravitational parameter on the strength of the shock and flow variables are investigated. With an increase in the shock Cowling number, non-idealness and rotational parameters, the shock strength decreases, i.e., they have decaying impact on shock wave; whereas the shock strength increases with gravitational parameter and similarity exponent. Also, the strength of the shock is reduced by considering the magnetic field to be axial instead of azimuthal.
A arqueologia do lixo no “Quarto de Despejo”: Materialidade e crítica Social apreendidas através do lixo catado por Carolina Maria de Jesus.
Authors: Amaral Vanúzia Gonçalves 
Published: July 2023

O objetivo deste artigo é analisar o livro “Quarto de despejo – diário de uma favelada” de Carolina Maria de Jesus como uma experiência arqueológica profunda. Para tal contam-se os resíduos recicláveis, restos alimentares e outros objetos. A partir da materialidade apreendida no diário de Carolina chega-se na profunda crítica social que ela faz da injusta sociedade brasileira. Sobreviver em meio à muita desigualdade, racismo e violência pode indicar uma boa pesquisa de arqueologia do lixo, mas também faz-se conhecer o “Quarto de Despejo” como um lugar social, de identidades e sobrevivência. Carolina sabe falar. Abstract:The purpose of this paper is to analyze the book “Quarto de despejo - diário de uma favelada” by Carolina Maria de Jesus as a deep archeological experiment. To this end we enumerate the recyclable wastes, food scraps and other objects. From the materiality of the Diary we arrive at Carolina’s deep critique of the unjust Brazilian society. Surviving amidst so much inequality, racism, and violence give us clues for a good research of the archeology of garbage, but it also makes us aware of “Quarto de Despejo” as a social place, that builds identities and survival. Carolina’s diary points to a path where we must “unlearn” many things about the Other. Carolina can and does speak.
Cellular senescence induction leads to progressive cell death via the INK4a‐RB pathway in naked mole‐rats
Authors: Kawamura Yoshimi , Oka Kaori , Semba Takashi , Takamori Mayuko , Sugiura Yuki , Yamasaki Riyo , Suzuki Yusuke , Chujo Takeshi , Nagase Mari , Oiwa Yuki , Fujioka Shusuke , Homma Sayuri , Yamamura Yuki , Miyawaki Shingo , Narita Minoru , Fukuda Takaichi , Sakai Yusuke , Ishimoto Takatsugu , Tomizawa Kazuhito , Suematsu Makoto , Yamamoto Takuya , Bono Hidemasa , Okano Hideyuki , Miura Kyoko 
Published: July 2023

AbstractNaked mole‐rats (NMRs) have exceptional longevity and are resistant to age‐related physiological decline and diseases. Given the role of cellular senescence in aging, we postulated that NMRs possess unidentified species‐specific mechanisms to prevent senescent cell accumulation. Here, we show that upon induction of cellular senescence, NMR fibroblasts underwent delayed and progressive cell death that required activation of the INK4a‐retinoblastoma protein (RB) pathway (termed “INK4a‐RB cell death”), a phenomenon not observed in mouse fibroblasts. Naked mole‐rat fibroblasts uniquely accumulated serotonin and were inherently vulnerable to hydrogen peroxide (H2O2). After activation of the INK4a‐RB pathway, NMR fibroblasts increased monoamine oxidase levels, leading to serotonin oxidization and H2O2 production, which resulted in increased intracellular oxidative damage and cell death activation. In the NMR lung, induction of cellular senescence caused delayed, progressive cell death mediated by monoamine oxidase activation, thereby preventing senescent cell accumulation, consistent with in vitro results. The present findings indicate that INK4a‐RB cell death likely functions as a natural senolytic mechanism in NMRs, providing an evolutionary rationale for senescent cell removal as a strategy to resist aging.
Loss of TDP‐43 oligomerization or RNA binding elicits distinct aggregation patterns
Authors: Pérez‐Berlanga Manuela , Wiersma Vera I , Zbinden Aurélie , De Vos Laura , Wagner Ulrich , Foglieni Chiara , Mallona Izaskun , Betz Katharina M , Cléry Antoine , Weber Julien , Guo Zhongning , Rigort Ruben , de Rossi Pierre , Manglunia Ruchi , Tantardini Elena , Sahadevan Sonu , Stach Oliver , Hruska‐Plochan Marian , Allain Frederic H‐T , Paganetti Paolo , Polymenidou Magdalini 
Published: July 2023

AbstractAggregation of the RNA‐binding protein TAR DNA‐binding protein 43 (TDP‐43) is the key neuropathological feature of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). In physiological conditions, TDP‐43 is predominantly nuclear, forms oligomers, and is contained in biomolecular condensates assembled by liquid–liquid phase separation (LLPS). In disease, TDP‐43 forms cytoplasmic or intranuclear inclusions. How TDP‐43 transitions from physiological to pathological states remains poorly understood. Using a variety of cellular systems to express structure‐based TDP‐43 variants, including human neurons and cell lines with near‐physiological expression levels, we show that oligomerization and RNA binding govern TDP‐43 stability, splicing functionality, LLPS, and subcellular localization. Importantly, our data reveal that TDP‐43 oligomerization is modulated by RNA binding. By mimicking the impaired proteasomal activity observed in ALS/FTLD patients, we found that monomeric TDP‐43 forms inclusions in the cytoplasm, whereas its RNA binding‐deficient counterpart aggregated in the nucleus. These differentially localized aggregates emerged via distinct pathways: LLPS‐driven aggregation in the nucleus and aggresome‐dependent inclusion formation in the cytoplasm. Therefore, our work unravels the origins of heterogeneous pathological species reminiscent of those occurring in TDP‐43 proteinopathy patients.
Hyperosmotic stress induces 2‐cell‐like cells through ROS and ATR signaling
Authors: Canat Antoine , Atilla Derya , Torres‐Padilla Maria‐Elena 
Published: July 2023

AbstractMouse embryonic stem cells (ESCs) display pluripotency features characteristic of the inner cell mass of the blastocyst. Mouse embryonic stem cell cultures are highly heterogeneous and include a rare population of cells, which recapitulate characteristics of the 2‐cell embryo, referred to as 2‐cell‐like cells (2CLCs). Whether and how ESC and 2CLC respond to environmental cues has not been fully elucidated. Here, we investigate the impact of mechanical stress on the reprogramming of ESC to 2CLC. We show that hyperosmotic stress induces 2CLC and that this induction can occur even after a recovery time from hyperosmotic stress, suggesting a memory response. Hyperosmotic stress in ESCs leads to accumulation of reactive‐oxygen species (ROS) and ATR checkpoint activation. Importantly, preventing either elevated ROS levels or ATR activation impairs hyperosmotic‐mediated 2CLC induction. We further show that ROS generation and the ATR checkpoint act within the same molecular pathway in response to hyperosmotic stress to induce 2CLCs. Altogether, these results shed light on the response of ESC to mechanical stress and on our understanding of 2CLC reprogramming.
Community structure of raptors in the páramo landscape of the Ecuadorian Andes
Authors: Barros Santiago , Porras Paul , Landázuri Boris , Siddons David C. , Latta Steven C. , Astudillo Pedro X. 
Published: July 2023

Introduction: Habitat alterations result in biodiversity loss, particularly in regions with high levels of diversity and endemism. Raptors are an essential part of the functionality and stability of ecosystems and indicators of habitat quality. In the paramo grassland ecosystems in the high Andes of Northern South America, raptors contain a high concentration of threatened species. Objective: To describe the raptor community structure and determine the species associations. Methods: We made monthly raptor counts in eight transects from October 2021 to September 2022 and used a principal component analysis to determine species associations. Results: We identified 149 individuals (seven species, three families) in two communities: abundant (Carunculated Caracara, Variable Hawk, Andean Condor and Turkey Vulture; PCI = 47 %), and scarce (Cinereous Harrier, Peregrine Falcon and Aplomado Falco; PCII = 27 %). Conclusion: We provide a valid description and understanding of raptor community structure, identifying two communities and the dynamics between them. The first is characterized by an increased abundance of generalist and regionally common species, when the abundance of these species decreases, the second community is defined, characterized by an increase in the abundance of specialist and rare species at the local scale.
Fitorremediación con Brassicaceae y Apiaceae en suelos contaminados con metales pesados
Authors: Salamanca-Rivera Angela Patricia , Silva Diego Alejandro , Cardozo-Muñoz Juan , Rojas-Sánchez Fabián , Meléndez-Mazabel Juan Camilo , Borda-Chingate Luis Santiago 
Published: July 2023

Introducción: La cuenca media del río Bogotá viene sufriendo contaminación por metales pesados debido a los vertidos industriales. Esta fuente de agua ha sido utilizada para el riego de cultivos de ciclo corto, lo que ha provocado la contaminación por metales pesados de los suelos productivos. Objetivo: Evaluar un proceso de fitorremediación con las especies vegetales Brócoli (Brassica oleracea var. Italica plenck) y Cilantro (Coriandrum sativum L.) en suelos contaminados con metales pesados en Mosquera- Colombia. Métodos: El muestreo se realizó con un diseño factorial completamente al azar: a) proporciones de cilantro/brócoli (30 cilantro/70 brócoli, 50/50, 70 cilantro/30 brócoli y dos controles de tipo monocultivo de cada especie) y b) tiempo de fitorremediación (3, 6 y 9 meses), cada tratamiento con cuatro parcelas experimentales. El suelo y el tejido vegetal se analizó en el laboratorio mediante espectrofotometría de absorción atómica para determinar la concentración de los metales pesados. Resultados: El análisis de metales pesados por medio de una técnica espectrofotométrica como absorción atómica permitió la adquisición de datos en torno a concentraciones, variaciones en relación con el pH, movimientos de metales de los suelos hacia los tejidos vegetales y biodisponibilidad en términos de concentración en especies bioacumuladoras como Brócoli y Cilantro. Adicionalmente, las matrices de correlación y P-valores inferiores a 0.05 permitieron evidenciar datos de significancia. Conclusiones: La fitorremediación por medio de las especies Brassica oleracea var. Itálica plenck y Coriandrum sativum L en proporciones 70/30 o 30/70 a suelos con pH entre 5.5 y 6.0 permiten una buena recuperación de suelos con contenidos de metales pesados en términos de concentraciones altas a cortos plazos, iniciando la biorremediación a los tres meses y finalizando cargas de disponibilidad variable a los nueve meses.
Cobertura algal en dos sitios del Parque Nacional de Guanahacabibes, plataforma suroccidental de Cuba
Authors: Alfonso Yusimí , González-Sánchez Patricia M. , Caballero Hansel , Chevalier Pedro Pablo , Díaz-Larrea Jhoana , Cabrera Ruben 
Published: July 2023

Introducción: Las comunidades de macroalgas marinas del Parque Nacional Guanahacabibes no han sido estudiadas desde el punto de vista cuantitativo, a pesar de la influencia que la vegetación submarina tiene sobre la estructura y el funcionamiento de los ecosistemas costeros, componente que hasta ahora ha sido subestimado en la región. Objetivo: Evaluar la variación temporal y espacial de los géneros de macroalgas en dos estaciones de María la Gorda, sur del Parque Nacional de Guanahacabibes, y evaluar la salud del arrecife de acuerdo con la cobertura de los diferentes morfo-tipos de macroalgas predominantes. Métodos: El estudio se realizó entre febrero de 2014 y marzo de 2017 en Laberinto y Yemayá con una frecuencia cuatrimestral, mediante buceo autónomo a una profundidad de 10 m. La cobertura algal fue estimada siguiendo la metodología AGRRA. Se calculó el porcentaje de cobertura que aporta cada género y de los grupos morfo-funcionales a la cobertura total encontrada en el área de estudio. Resultados: Los géneros dominantes durante el periodo de estudio fueron: Dictyota, Lobophora y Halimeda. Las algas carnosas y calcáreas mostraron mayor cubrimiento en Laberinto que en Yemayá, no siendo así con las formas costrosas. El índice de las carnosas fue superior en Laberinto. Conclusión: Se aporta una línea base para futuros estudios de monitoreo en Guanahacabibes y se sugiere que las evaluaciones ecológicas rápidas de macroalgas en el campo a nivel de género son un indicador confiable que se puede usar para monitorear cambios temporales.
A Novel Method of Enhancing Security Solutions and Energy Efficiency of IoT Protocols
Authors: Prasad K. D. V. , Palanikkumar D. , Gowda V. Dankan , Hussain Naziya , Jaisudhan Pazhani A. Azhagu , N. Anil Kumar 
Published: July 2023

Mobile Ad-hoc Networks (MANET’s) are wireless networks that are capable of operating without any fixed infrastructure. MANET routing protocols must adhere to strict secrecy, integrity, availability and non-repudiation criteria. In MANETs, attacks are roughly categorised into two types: active and passive. An active attack attempts to modify or remove data being transferred across a network. On the other hand, passive attack does not modify or erase the data being sent over the network. The majority of routing protocols for MANETs were built with little regard for security and are therefore susceptible to a variety of assaults. Routing technologies such as AODV and dynamic source routing are quite common. Both however are susceptible to a variety of network layer attacks, including black holes, wormholes, rushing, byzantine, information disclosure. The mobility of the nodes and the open architecture in which the nodes are free to join or leave the network keep changing the topology of the network. The routing in such scenarios becomes a challenging task since it has to take into account the constraints of resources of mobile devices. In this an analysis of these protocols indicates that, though proactive routing protocols maintain a route to every destination and have low latency, they suffer from high routing overheads and inability to keep up with the dynamic topology in a large sized network. The reactive routing protocols in contrast have low routing overheads, better throughput and higher packet delivery ratio. AODVACO-PSO-DHKE Methodology boosts throughput by 10% while reducing routing overhead by 7%, latency by 8% and energy consumption by 5%. To avoid nodes always being on, a duty cycle procedure that's also paired with the hybrid method is used ACO-FDR PSO is applied to a 100-node network and NS-3 is used to measure various metrics such as throughput, latency, overhead, energy consumption and packet delivery ratio.
Recommendation of Algorithm for Efficient Retrieval of Songs from Musical Dataset
Authors: Vodithala Swathy , Gudimalla Vaishnavi , Bhavani Y. , Madadi Preethi , Waseem Mohammed Sharfuddin 
Published: July 2023

Now-a-days, the research is more towards the entertainment like music, songs, movies, etc. There are many existing works that suggest good songs, movies to people depending on their mood, nature and time that has been savior for the society during the days of lockdown. The existing algorithms used in the literature for basic clustering are K-means, TSNE (T- distributed Stochastic Neighborhood Embedding), PCA (Principal Component Analysis).In this paper, the music dataset considered, consists of songs with attributes as song name, genres, artists, mode, tempo, valence, year, liveness, loudness, popularity, acousticness, danceability, duration, energy, explicit, instrumentalness, key. The important feature is extracted from the other features with the support of literature survey i.e., number of music listeners, types of the songs and type of the music. Later, the dataset is divided into clusters using traditional technique that is k-means based on genre, an important attribute which is selected from the above attributes. The different classifier models like Random Forest, Extra Trees, LightGBM, XGBoost, CatBoost classifier are applied on the clustered dataset and the results have been evaluated on each individual algorithm. Thus the paper recommends not only the group of relevant songs but also suggests the best accurate classification algorithm that can be used for any mentioned musical dataset. The paper also compares all the said ensemble algorithms by calculating the precision, recall, f1-score and support. The accuracy is also calculated for all said ensemble algorithms and based on the accuracy the best suitable algorithm is suggested.
Optimized Visual Internet of Things in Video Processing for Video Streaming
Authors: Shilpa Bagade , Kumar Budati Anil , Rao L Koteswara 
Published: July 2023

The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT) for simulating the effect of network congestion on the performance of encrypted static images sent over wireless sensor networks.The simulations are intended for analysing video quality and determining packet drop resilience during video conversations.The assessment of emerging trends in quality measurement, including picture preference, visual attention, and audio visual quality is checked. To appropriately quantify the video quality loss caused by the encoding system, various encoders compress video sequences at various data rates.Simulation results for different QoE metrics with respect to user developed videos have been demonstrated which outperforms the existing metrics.