bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deployment of Artificial Intelligence Models into Edge Devices: A Tutorial Brief
Authors: Zylinski Marek , Nassibi Amir , Rakhmatulin Ildar , Malik Adil , Papavassiliou Christos , Mandic Danilo P. 
Published: September 2023

<p>Artificial intelligence (AI) on an edge device has enormous potential, including advanced signal filtering, event detection, optimization in communications and data compression, improving device performance, advanced on-chip process control, and enhancing energy efficiency. </p>
<p>In this tutorial, we provide a brief overview of AI deployment on edge devices, and we describe the process of building and deploying a neural network model on a digital edge device. The primary challenge when deploying an AI model in circuits is to fit the model within the constraints of the limited resources as the restricted memory capacity on IoT circuits and the finite computational power impose constraints on the utilization of deep neural networks on IoT. We addresses this issue by elucidating methods for optimizing neural network models. </p>
<p>Part of the tutorial also covers the deployments of deep neural network into logic circuits, as significantly enhanced computational speed can be attained by transitioning the AI paradigm from neural networks to learning automata algorithms. This shift involves a move from arithmetic-based calculations to logic-based approaches. This transformation facilitates the deployment of AI onto Field-Programmable Gate Arrays (FPGAs).</p>
<p>The last part of the tutorial covers the emerging topic of in-memory computation of the multiply-accumulate operation. Transferring computations to analog memories has the potential to improve speed and energy efficiency compared to digital architectures, potentially achieving improvements of several orders of magnitude.</p>
<p>It is our hope that this tutorial will assist researchers and engineers to integrate AI models on edge devices, facilitating rapid and reliable implementation.</p>
Artificial Intelligence in Choroid Through Optical Coherence Tomography: A Comprehensive Review
Authors: Selvam Amrish , Ong Joshua , Driban Matthew , Bollepalli Sandeep Chandra , Chhablani Jay , Vupparaboina Kiran Kumar 
Published: September 2023

<p> Vision-threatening conditions, such as age-related macular degeneration (AMD) and central serous chorioretinopathy (CSCR), arise from dysfunctions in the highly vascular choroid layer in the eye’s posterior segment. Optical coherence tomography (OCT) images play a crucial role in diagnosing choroidal structural changes in clinical practice. This review emphasizes the significant efforts in developing precise detection, quantification, and automated disease classification of choroidal biomarkers. The rapid progress of artificial intelligence (AI) has triggered transformative breakthroughs across sectors including medical image analysis. Recently, the integration of AI within the diagnosis and treatment of choroidal diseases has captured significant attention. Multiple studies highlight AI’s potential to enhance diagnostic precision and optimize clinical outcomes in this context. The review provides an extensive overview of AI’s current applications in choroidal analysis using OCT imaging. It encompasses a diverse array of algorithms and techniques employed for biomarker detection, such as thickness and vascularity index, and for identifying diseases like AMD and CSCR. The overarching goal of this review is to provide an updated and comprehensive exploration of AI’s impact on the choroid, highlighting its potential, challenges, and role in driving innovation in the field. </p>
MAPEAMENTO DA REDE DE SOCIOASSISTENCIAL E DE SAÚDE PARA ATENDIMENTO DA POP RUA EM SALVADOR (BA)
Authors: Ananda Genonádio  , Renata Meira Veras  
Published: September 2023

Introdução: Como reflexo da desigualdade econômica e social no Brasil, o quantitativo de pessoas em situação de rua vem aumentando a cada dia. A vida dessas pessoas tem sido marcada por reiteradas violações de direitos. Diante disso, o Estado tem um papel decisório na gestão de políticas públicas. Esse estudo se justifica a partir da importância da visibilidade do tema e do comprometimento social da academia com as populações vulneráveis. Questão de Investigação/Objetivos: A partir da questão de pesquisa: “quais são os serviços de saúde e de assistência social que atende a POP RUA em Salvador?” este estudo tem o objetivo de mapear e identificar qualitativamente os serviços da rede de saúde e de assistência social destinados ao atendimento da POP RUA em Salvador - BA. Métodos: A metodologia empreendida neste estudo foi exploratória de cunho qualitativo, dividida em dois momentos. Inicialmente, 3 documentos públicos foram utilizados como ponto de partida. Em seguida foram realizadas buscas em sites governamentais e análise de novos documentos e notícias acerca da temática estudada. Organização do artigo: Os documentos, portarias e notícias encontrados nos sites anteriormente citados foram analisados, compilados e organizados a partir de uma matriz de análise criada tendo como base os níveis de complexidade do SUAS e do SUS. Ao todo foram localizados e analisados 5 tipos de serviços específicos para a POP RUA. Considerações Finais: Verifica-se que no Brasil houve um avanço na promulgação de leis para garantia de direitos para a POP RUA. Entretanto, aspectos ainda precisam ser melhorados para que haja uma melhor efetividade da política na prática e, assim, a garantia de direitos dessa população. Ademais, sugere-se que mais estudos sejam feitos nessa área e que possa haver mais investigações acerca da aplicabilidade das políticas na realidade das cidades.
Especies florísticas, arbóreas y arbustivas de importancia melífera del Sur Oriente de Guatemala
Authors: Reyes Donis Ariel Oswaldo , Solórzano Castillo Robertha 
Published: September 2023

El conocimiento de las especies florísticas, arbóreas y arbustivas que son visitadas por las abejas representa un impacto significativo para los apicultores de la región Sur Oriente de Guatemala, específicamente, San Manuel Chaparrón y Mataquescuintla del departamento de Jalapa, y Nueva Santa Rosa, del departamento de Santa Rosa; los resultados obtenidos en la investigación permiten establecer las zonas adecuadas por su potencial florístico aprovechable para la producción apícola, basados en las características de disponibilidad y abundancia, así como de la etología de la abeja la cual permite establecer las plantas de mayor preferencia para estas por su aporte polínico, así mismo se logra determinar en laboratorio la estructura morfométrica de los granos de polen de las diferentes especies de plantas analizadas, dando como resultados su descripción botánica y morfología de polen, beneficiando así con este conocimiento a la población de apicultores a través de la generación de un catálogo referencial que les permitirá determinar la procedencia de las mieles que producen en sus apiarios de acuerdo al contenido polínico de estas, además aportará conocimiento de todas las especies que se pueden conservar y aprovecharlas de manera sostenible mitigando el deterioro de sus ecosistemas.

Palabras clave: apícola, abeja, especies florísticas, etología, polen.
Artificial Intelligence In Language Teaching And Learning
Authors: Sotomayor Cantos Karina Fernanda , Varas Giler Rosa Cecibel , Castro Magayanes Israel Eduardo 
Published: September 2023

Due to its capacity to simulate human intelligence processes that are managed by machines, particularly computer systems, artificial intelligence (AI) seems to have numerous applications nowadays. From this perspective, this article presents a literature review of the applications of AI in the teaching and learning of languages. A search of articles was carried out in the Google Scholar database. The method used to review the articles selected is the qualitative research method, specifically content analysis. The study's conclusions show, due to its many advantages, AI is essential in language teaching and learning, being a meaningful tool for both teachers and students.
Klomifen sitrata dirençli polikistik over sendromunda ikincil tedavi olarak laparoskopik over drilling ve gonadotropinlerle ovulasyon indüksiyonunun etkinliğinin karşılaştırılması
Authors: KALI Zercan , TANILIR Fatma , KIRICI Pınar , DEĞER Uğur , ÇILGIN Hasan 
Published: September 2023

Amaç: Klomifen sitrata dirençli polikistik over sendromlu infertil hastaların ikinci basamak tedavisinde; laparoskopik ovaryan drilling ile gonadotropinlerin etkinlik ve gebelik sonuçlarını karşılaştırmayı amaçladık.

Gereç ve Yöntem: Haziran 2017 ile Aralık 2019 tarihleri arasında, polikistik over sendromlu toplam 145 klomifen sitrata dirençli gönüllü katılımcı çalışmaya dahil edildi. Hastalar iki gruba ayrıldı ; 56 hastaya laparoskopik over drilling uygulandı , 89 hastaya ise gonadotropin ile indüksiyon yapıldı. Her 2 grup laboratuar parametreleri ve gebelik sonuçları açısından kıyaslanarak değerlendirildi.
Bulgular: Her iki grupta yaş, vücut kitle indeksi ve infertilite süresi benzerdi (p=0.35, p=0.56, p=0.067). Gruplar arasında açlık glukoz ve insülin düzeyleri, hormon ve androjen profili, antral folikül sayısı, hemoglobin A1c düzeyi (Hba1c), hirsutizm skoru, LH/FSH oranı ve anti-müllerian hormon (AMH) düzeyleri açısından fark bulunmadı. AMH, antral folikül sayısı (AFC), adrojen indeksleri ve LH/FSH oranları, altı aylık tedaviden sonra LOD grubunda daha düşüktü (sırasıyla, p=0.011, p
Timescale of Stellar Feedback-driven Turbulence in the ISM: A Deep Dive into UGC 4305
Authors: Hunter Laura Congreve , van Zee Liese , McQuinn Kristen B. W. , Cohen Roger E. , Markham Madison , Dolphin Andrew E. 
Published: September 2023

Abstract
Understanding the interplay of stellar feedback and turbulence in the interstellar medium (ISM) is essential to modeling the evolution of galaxies. To determine the timescales over which stellar feedback drives turbulence in the ISM, we performed a spatially resolved, multiwavelength study of the nearby star-forming dwarf galaxy UGC 4305. As indicators of turbulence on local scales (400 pc), we utilized ionized gas velocity dispersion derived from IFU Hα observations and atomic gas velocity dispersion and energy surface densities derived from H i synthesis observations with the Very Large Array. These indicators of turbulence were tested against star formation histories over the past 560 Myr derived from color–magnitude diagrams using Spearman’s rank correlation coefficient. The strongest correlation identified at the 400 pc scale is between measures of H i turbulence and star formation 70–140 Myr ago. We repeated our analysis of UGC 4305's current turbulence and past star formation activity on multiple physical scales (∼560 and 800 pc) to determine whether there are indications of changes in the correlation timescale with changes to the physical scale. No notable correlations were found at larger physical scales, emphasizing the importance of analyzing star formation-driven turbulence as a local phenomenon.
Hydrodynamics and Survivability during Post-main-sequence Planetary Engulfment
Authors: Yarza Ricardo , Razo-López Naela B. , Murguia-Berthier Ariadna , Everson Rosa Wallace , Antoni Andrea , MacLeod Morgan , Soares-Furtado Melinda , Lee Dongwook , Ramirez-Ruiz Enrico 
Published: September 2023

Abstract
The engulfment of substellar bodies (SBs), such as brown dwarfs and planets, by giant stars is a possible explanation for rapidly rotating giants, lithium-rich giants, and the presence of SBs in close orbits around subdwarfs and white dwarfs. We perform three-dimensional hydrodynamical simulations of the flow in the vicinity of an engulfed SB. We model the SB as a rigid body with a reflective surface because it cannot accrete. This reflective boundary changes the flow morphology to resemble that of engulfed compact objects with outflows. We measure the drag coefficients for the ram-pressure and gravitational drag forces acting on the SB, and use them to integrate its trajectory inside the star. We find that engulfment can increase the luminosity of a 1 M
⊙ star by up to a few orders of magnitude. The time for the star to return to its original luminosity is up to a few thousand years when the star has evolved to ≈10 R
⊙ and up to a few decades at the tip of the red giant branch (RGB). No SBs can eject the envelope of a 1 M
⊙ star before it evolves to ≈10 R
⊙ if the orbit of the SB is the only energy source contributing to the ejection. In contrast, SBs as small as ≈10 M
Jup can eject the envelope at the tip of the RGB. The numerical framework we introduce here can be used to study planetary engulfment in a simplified setting that captures the physics of the flow at the scale of the SB.
Three-dimensional Simulations of Massive Stars. II. Age Dependence
Authors: Vanon R. , Edelmann P. V. F. , Ratnasingam R. P. , Varghese A. , Rogers T. M. 
Published: September 2023

Abstract
We present 3D full star simulations, reaching up to 90% of the total stellar radius, for three 7 M
⊙ stars of different ages: zero-age main sequence (ZAMS), mid–main sequence (midMS), and terminal-age main sequence (TAMS). A comparison with several theoretical prescriptions shows that the generation spectra for all three ages are dominated by convective plumes. Two distinct overshooting layers are observed, with most plumes stopped within the layer situated directly above the convective boundary; overshooting to the second, deeper layer becomes progressively more infrequent with increasing stellar age. Internal gravity wave (IGW) propagation is significantly impacted in the midMS and TAMS models as a result of some IGWs getting trapped within their Brunt–Väisälä frequency spikes. A fundamental change in the wave structure across radius is also observed, driven by the effect of density stratification on IGW propagation causing waves to become evanescent within the radiative zone, with older stars being affected more strongly. We find that the steepness of the frequency spectrum at the surface increases from ZAMS to the older models, with older stars also showing more modes in their spectra.
Discovery of a Variable Multiphase Outflow in the X-Ray-emitting Tidal Disruption Event ASASSN-20qc
Authors: Kosec P. , Pasham D. , Kara E. , Tombesi F. 
Published: September 2023

Abstract
Tidal disruption events (TDEs) are exotic transients that can lead to temporary super-Eddington accretion onto a supermassive black hole. Such an accretion mode is naturally expected to result in powerful outflows of ionized matter. However, to date such an outflow has only been directly detected in the X-ray band in a single TDE, ASASSN-14li. This outflow has a low velocity of just a few 100 km s−1, although there is also evidence for a second, ultrafast phase. Here we present the detection of a low-velocity outflow in a second TDE, ASASSN-20qc. The high-resolution X-ray spectrum reveals an array of narrow absorption lines, each blueshifted by a few 100 km s−1, which cannot be described by a single photoionization phase. For the first time, we confirm the multiphase nature of a TDE outflow, with at least two phases and two distinct velocity components. One highly ionized phase is outflowing at

910

−
80

+
90

km s−1, while a lower ionization component is blueshifted by

400

−
120

+
100

km s−1. We perform a time-resolved analysis of the X-ray spectrum and detect that, surprisingly, the ionization parameter of the mildly ionized absorber strongly varies over the course of a single 60 ks observation, indicating that its distance from the black hole may be as low as 400 gravitational radii. We discuss these findings in the context of TDEs and compare this newly detected outflow with that of ASASSN-14li.
Key Signatures of Prominence Materials and Category of Cold Materials Identified by Random Forest Classifier
Authors: Cheng Zexin , Yao Shuo , Meng Shuyi 
Published: September 2023

Abstract
The origin of cold materials identified by different criteria is unclear. They are highly suspected to be erupted prominences. However, some cold materials defined by charge depletion exist in both quiet solar wind and interplanetary coronal mass ejections (ICMEs). Recently, solar observations show failed prominence eruption in coronal mass ejections (CMEs) that the prominence sometimes did not propagate into interplanetary space. This work uses Random Forest Classifier (RFC), which is an interpretable supervised machine-learning algorithm to study the distinct signatures of prominence cold materials (PCs) compared to quiet solar wind (QSW) and ICMEs excluding cold materials (ICMEEs). Twelve physical features measured by ACE at 1 au and the monthly averaged sunspot number are used in this study. The measurements from ACE are proton moments, magnetic field component B

z
, He/H, He/O, Fe/O, mean charge of oxygen and carbon, C6+/C5, C6+/C4+, and O7+/O6+. According to the returned weights from RFC that are checked by support vector machine classifier, the most important in situ signatures of PCs are obtained. Next, the trained RFC is used to check the category of the cold materials not related to CME observations. The results show that most segments of the cold materials are from prominences, but four of them are possibly from ICMEEs; another one segment is possibly from QSW. The most distinct signatures of PCs are lower (C6+/C5+)/(O7+/O6+), proton temperature, and He/O. Considering the obvious overlaps on key physical features between QSW, ICMEEs, and PCs, the multifeature classifier shows an advantage in identifying them than solid criteria.
Near-infrared Flux Distribution of Sgr A* from 2005–2022: Evidence for an Enhanced Accretion Episode in 2019
Authors: Weldon Grant C. , Do Tuan , Witzel Gunther , Ghez Andrea M. , Gautam Abhimat K. , Becklin Eric E. , Morris Mark R. , Martinez Gregory D. , Sakai Shoko , Lu Jessica R. , Matthews Keith , Hosek Matthew W. , Haggard Zoë 
Published: September 2023

Abstract
Sgr A* is the variable electromagnetic source associated with accretion onto the Galactic center supermassive black hole. While the near-infrared (NIR) variability of Sgr A* was shown to be consistent over two decades, unprecedented activity in 2019 challenges existing statistical models. We investigate the origin of this activity by recalibrating and reanalyzing all of our Keck Observatory Sgr A* imaging observations from 2005–2022. We present light curves from 69 observation epochs using the NIRC2 imager at 2.12 μm with laser-guide star adaptive optics. These observations reveal that the mean luminosity of Sgr A* increased by a factor of ∼3 in 2019, and the 2019 light curves had higher variance than in all time periods we examined. We find that the 2020–2022 flux distribution is statistically consistent with the historical sample and model predictions, but with fewer bright measurements above 0.6 mJy at the ∼2σ level. Since 2019, we have observed a maximum K

s
(2.2 μm) flux of 0.9 mJy, compared to the highest pre-2019 flux of 2.0 mJy and highest 2019 flux of 5.6 mJy. Our results suggest that the 2019 activity was caused by a temporary accretion increase onto Sgr A*, possibly due to delayed accretion of tidally stripped gas from the gaseous object G2 in 2014. We also examine faint Sgr A* fluxes over a long time baseline to search for a quasi-steady quiescent state. We find that Sgr A* displays flux variations over a factor of ∼500, with no evidence for a quiescent state in the NIR.
Bright Beacons? ALMA Non-detection of a Supposedly Bright [O i] 63 μm Line in a Redshift-6 Dusty Galaxy
Authors: Rybak Matus , Lemsom L. , Lundgren A. , Zavala J. , Hodge J. A. , de Breuck C. , Casey C. M. , Decarli R. , Torstensson K. , Wardlow J. L. , van der Werf P. P. 
Published: September 2023

Abstract
We report a non-detection of the [O i] 63 μm emission line from the z = 6.03 galaxy G09.83808 using ALMA Band 9 observations, refuting the previously claimed detection with APEX by Rybak et al.; the new upper limit on the [O i] 63 μm flux is almost 20-times lower. [O i] 63 μm line could be a powerful tracer of neutral gas in the Epoch of Reionization: yet our null result shows that detecting [O i] 63 μm from z ≥ 6 galaxies is more challenging than previously hypothesized.
The influence of naturalness of the landscape structure on children’s connectedness to Nature in North-eastern Italy
Authors: Stocco Alice , Tabacchi Chiara , Barbiero Giuseppe , Pranovi Fabio 
Published: September 2023

Connectedness to Nature and the ability to perceive the restorativeness value of places characterized by the presence of natural elements are personal characteristics that, when appropriately measured, make it possible to predict an individual’s attitude toward pro-environmental behaviors. While these characteristics have an innate basis, they are also shaped by personal experiences and various cognitive, affective, and sociocultural factors. In this exploratory study, we delve into an interdisciplinary field that explores the relationship between the environment of the residential area and its impact on children's attitudes toward Nature. To do so, we conducted a comprehensive questionnaire among schoolchildren in North-eastern Italy to gauge their connectedness to Nature, their perceptions of restorativeness in surrounding natural settings, and their schoolyard environment. Then, drawing from optical satellite imageries, we calculated a combined multispectral index to assess the naturalness degree of participants' residential areas. Significant higher levels of connectedness to Nature were observed among children living in areas with high naturalness, compared to those living in areas with average or low naturalness. Perceived restorativeness scores exhibit a similar to that of connectedness to Nature, reinforcing the importance of natural spaces in fostering positive attitudes towards the environment. However, schoolyards were consistently perceived as less regenerative than natural places, regardless of the naturalness of the neighborhood. These results raise intriguing questions about the potential consequences of inadequate exposure to Nature on children's affiliation to the natural world and its possible subsequent effects on pro-environment behaviors in adulthood. By shedding light on the complex interplay between personal characteristics, environment, and attitudes towards Nature, our study underscores the significance of fostering a deeper connection with natural spaces to nurture a sustainable and environmentally conscious society.