bluuebunny/crossref_metadata_2025 huggingface dataset:
Reward responses to vicarious feeding depend on body mass index
Authors: Järvinen Lili , Santavirta Severi , Putkinen Vesa , Karlsson Henry K. , Seppälä Kerttu , Sun Lihua , Hudson Matthew , Hirvonen Jussi , Nuutila Pirjo , Nummenmaa Lauri
Published: February 2025

Eating is inherently social for humans. Yet, most neuroimaging studies of appetite and food-induced reward have focused on studying brain responses to food intake or viewing pictures of food alone. We used functional magnetic resonance imaging (fMRI) to measure haemodynamic responses to “vicarious” feeding. The subjects (n = 97) viewed series of short videos representing naturalistic episodes of social eating intermixed with videos without feeding/appetite-related content. Viewing the vicarious feeding (versus control) videos activated motor and premotor cortices, thalamus, and dorsolateral prefrontal cortices, consistent with somatomotor and affective engagement. Responses to the feeding videos were negatively correlated with the participants’ body mass index. Altogether these results suggest that seeing others eating engages the corresponding motor and affective programs in the viewers’ brain, potentially increasing appetite and promoting mutual feeding.
Open-access network science: Investigating phonological similarity networks based on the SUBTLEX-US lexicon
Authors: Alderete John , Mann Sarbjot , Tupper Paul
Published: February 2025

Network science tools are becoming increasingly important to psycholinguistics, but few open-access data sets exist for exploring network properties of even well-studied languages like English. We constructed several phonological similarity networks (neighbors differ in exactly one consonant or vowel phoneme) using words from a lexicon based on the SUBTLEX-US English corpus, distinguishing networks by size and word representation (i.e., lemma vs. word form). The resulting networks are shown to exhibit many familiar characteristics, including small-world properties, broad degree distributions, and robustness to node removal, regardless of network size and word representation. We also validated the SUBTLEX phonological networks by showing that they exhibit contrasts in degree and clustering coefficient comparable to the same contrasts found in prior studies and exhibit familiar trends after extraction of a backbone network of nodes important to network centrality. The data release (https://github.com/aldo-git-bit/phonological-similarity-networks-SUBTLEX) includes 17 adjacency lists that can be further explored using the networkX package in Python, a package of files for building new adjacency lists from scratch, and several scripts that allow users to analyze and extend these results.
THE RELATIONSHIP OF THE QUALITY OF NURSING SERVICES WITH FAMILY SATISFACTION IN THE PERINATOLOGY ROOM OF RSUD MUHAMMAD SANI 2024
Authors: Syahara Rita , Novita Sari Ika , Dewi Silalahi Ratna
Published: February 2025

The Perinatology Room specifically cares for newborn babies who require observation and babies who are less than one month old. Nurses have an important role in improving the physical health of babies by meeting the baby's complex needs, paying attention to their growth and development, and being sensitive to the psychological conditions of parents or families by providing comprehensive and complete care. The purpose of this research is to find out relationship between the quality of nursing services and family satisfaction ppatient in the Perinatology room at Muhammad Sani Karimun Hospital in 2024. This research uses a quantitative research design with a Cross Sectional. The sampling technique uses purposive sampling. The number of samples to be studied is 39 people. The data collection tool uses a questionnaire on the quality of nursing services and family satisfaction. Analysis for hypothesis testing uses the Chi Square statistical test. Results of statistical test analysis using Chi-square value obtained p value equal to 0.000 < 0.05, which means there is a significant relationship between the quality of nursing services and patient family satisfaction. It is recommended that the hospital Improving the quality of nursing services in the Perinatology Room at RSUD Muhammad Sani Karimun focuses on strengthening effective communication between nurses and patient families.
THE EFFECT OF LAVENDER AROMATHERAPY ON PAIN LEVELS IN POST-OPERATIVE PATIENTS CAESAREAN SECTION IN THE MUHAMMAD SANI HOSPITAL 2024
Authors: Andriani  , Faizah Ana , Dewi Silalahi Ratna
Published: February 2025

Operational action Caesarean section This can cause pain in the mother and there can be changes in tissue continuity due to surgery. The mother will feel pain when the effects of spinal anesthesia begin to wear off after 6-8 hours post-surgery. Having pain problems can cause problems with lactation. To prevent this, interventions are needed to reduce pain, one of which is using lavender aromatherapy. The aim of this research is to determine the effect of lavender aromatherapy on pain levels in post-operative patients caesarean section in the obstetrics inpatient ward at Muhammad Sani Hospital, Karimun Regency in 2024. The research design uses Quasi Experimental Design with One Group Pretest-Posttest Design. The intervention is given by dripping 3 drops of lavender aromatherapy onto a tissue, then inhaling it at a distance of approximately 10 cm from the nose for 15 minutes and the intervention is given after 8 hours post spinal anesthesia, then carry out the therapy according to the doctor's instructions. The sample in this study consisted of 35 mothers after caesarean section. The results of the study showed the average pain scale in post-operative mothers caesarean section before being given lavender aromatherapy it was 4.97 and after it was 2.6. Analysis results using Wilcoxon Signed Ranks Test It is known that there is a difference in the level of pain before and after giving lavender aromatherapy (p value = 0,000).
PAPEL DO ACOMPANHANTE DURANTE A GRAVIDEZ, O PARTO E O PERÍODO PÓS-PARTO
Authors: Mesa C. , Espigares C. , Galhanas A. , Frias A.
Published: February 2025

O acompanhamento na gravidez, consiste numa série de encontros interpessoais que apoiam o crescimento e a maturação da pessoa que está a ser acompanhada. O envolvimento dos homens durante a gravidez e no parto é crucial para promover um ambiente seguro e positivo. Embora algumas mulheres prefiram não ser acompanhadas, especialmente em contextos de baixos rendimentos, o acompanhante pode ser qualquer pessoa significativa para a mulher. A teoria da vinculação de Bowlby salienta a importância de laços emocionais duradouros que começam no período pré-natal e são reforçados pela interação diária, embora em situações especiais, como o internamento de um bebé prematuro, a ligação parental possa ficar comprometida, levando ao stress e a sentimento de impotência. O apoio informativo e emocional do companheiro é vital para a gestão da dor e para o bem-estar emocional da parturiente. O papel dos enfermeiros especializados neste contexto é importante para envolver o parceiro da mulher e para criar um ambiente adequado durante o processo de gravidez. Durante este processo, tem sido demonstrado que os pais sofrem de angústia pré-natal devido à falta de informação e à falta de poder sobre os seus sentimentos durante a gravidez e o pós-parto.
PLANO DE PARTO E IDA PARA A MATERNIDADE
Authors: Orvalho A. , Figueiredo C. , Galhanas A. , Frias A.
Published: February 2025

Ao longo dos anos, os cuidados prestados à grávida durante o trabalho de parto, sofreram alterações com o objetivo principal de controlar complicações e possíveis situações de risco materno-fetais. O plano de parto surge no final da década de 1970, autonomizando a grávida e dando-lhe poder de decisão sobre o seu processo de parto, através da expressão das suas preferências e expectativas, promovendo a importância da comunicação entre os profissionais de saúde e a mesma. Nas consultas de seguimento da gravidez são dadas diversas informações pertinentes à grávida/casal, no sentido de promover a autonomia e a capacidade para tomar decisões informadas. Nessas consultas de vigilância pré-natal são abordados, entre outros, temas relativos ao plano de parto e à preparação da mala de ida para a maternidade.
O EXERCÍCIO FÍSICO DURANTE A GRAVIDEZ
Authors: Osuna C. , Las Vega M. , Galhanas A. , Frias A.
Published: February 2025

O exercício físico durante a gravidez é essencial para a saúde física e mental da mulher e do feto. Recomenda-se uma combinação de exercícios aeróbicos, de resistência e alongamentos, com intensidade ligeira a moderada, várias vezes por semana. A prática regular ajuda a controlar o aumento de peso, reduz o risco de complicações como pré-eclâmpsia e diabete gestacional, alivia dores e melhora o bem-estar emocional. A postura e mobilidade pélvica são fundamentais para o trabalho de parto. Técnicas como postura e básculas ajudam a promover a mobilidade pélvica, enquanto a utilização da bola de Pilates ou bola amendoim oferece conforto e facilita o movimento durante o trabalho de parto. Exercícios de mobilidade e alongamentos durante a gestação e o parto são importantes para manter músculos fortes e flexíveis, reduzindo o risco de complicações. Além disso, exercícios perineais como os de Kegel fortalecem os músculos do assoalho pélvico, prevenindo incontinência urinária e ajudando no trabalho de parto. É essencial seguir orientações médicas e adaptar a prática de exercícios conforme o trimestre da gravidez e possíveis complicações.
SEGURANÇA DO RECÉM-NASCIDO
Authors: Chaveiro I. , Silva M. , Amador R. , Frias A.
Published: February 2025

Os acidentes constituem uma das principais causas de morte de crianças e jovens em todo o mundo. Nos últimos 30 anos, confirmou-se uma redução significativa da mortalidade de crianças e jovens por traumatismos e lesões não intencionais, porém, os acidentes rodoviários em Portugal continuam a assumir a primeira posição do número de mortes acidentais, em aproximadamente 60%, em crianças a partir do primeiro ano e até aos 15 anos de vida. Em segundo lugar encontram-se os afogamentos, e em terceiro a asfixia acidental e estrangulamento. Com o intuito de ajudar as famílias a reconhecer os perigos e colocar em prática medidas de prevenção de acidentes, é extremamente importante capacitar os pais e os cuidadores de crianças, no cumprimento das normas de segurança referentes à prestação de cuidados ao recém-nascido.
Utilising Cellulose Acetate Derived from Cotton Waste for Efficient Oil Removal in Water
Authors: Fauzi Fatin Azzahra , Mohamad Fuad
Published: February 2025

One of the most popular textile materials is cotton, and cotton waste makes up about 24% of all textile waste. For a thriving recycled cotton sector, recycled cotton has a high potential and suitable beginning material. The recycling of cotton waste offers a sustainable solution for its conversion into functional materials. Cellulose, a major constituent of cotton wools, was extracted and subsequently acetylated to produce cellulose acetate, which served as an oil adsorbent. This study aimed to extract cellulose from cotton waste and functionalise it through an acetylation process, resulting in cellulose acetate for oil adsorption applications. The methodology involved bleaching used cotton with hydrogen peroxide, followed by hydrolysis with sulphuric acid to obtain cellulose. Acetylation was then performed using acetic acid to synthesize cellulose acetate. The resulting products were characterized using infrared spectroscopy to confirm functional groups, thermal analysis to determine thermal stability, and powder X-Ray diffraction to observe crystallinity. The cellulose acetate exhibited a broader range of decomposition temperature compared to the unfunctionalized cellulose. The effectiveness of cellulose acetate as an oil adsorbent was evaluated by testing its ability to remove engine oil from water. A noticeable increase in the mass of cellulose acetate before and after the oil adsorption process underscored its efficacy in removing oil from water surfaces. In conclusion, the synthesis of cellulose acetate from cotton waste proved to be a cost-effective and recyclable alternative for oil removal from water surfaces, presenting a viable solution for addressing environmental pollution concerns.
Binary Logistic Regression Model: Factor Influencing the Intention to Pursue Further Study at Higher Education Institutions in Malaysia among STPM Students
Authors: Ng Kuang Yong , Samsudin Shamzaeffa , Zainal Zalina , Wiranatakusuma Dimas Bagus
Published: February 2025

Student’s intention to pursue their further study is influenced by many factors nowadays because they have many channels if compared to previous. STPM students can choose to continue study at higher education institution in Malaysia or aboard because the certificate is also recognised by foreign countries. They are able to differentiate the cost and benefit of their chance to further study. Hence, the objective of this study is to investigate the factors influence the intention of STPM students to further their study at higher education institution in Malaysia. The primary and quantitative data are used for this study. Questionnaires are distributed to 254 selected respondents among the STPM students who study at the government school in Kulai, Johor. Moreover, the binary logistic regression model is applied in this study. From the results, most of the students have intention to pursue their further study at higher education institution in Malaysia. Moreover, the value of education and the physical facilities have the likelihood to influence the student’s intention. Hence, these factors need focused by the government to reduce the brain drain in Malaysia.
Autism Spectrum Disorder Identification from Facial Images Using Fine Tuned Pre-trained Deep Learning Models and Explainable AI Techniques
Authors: Hossain Sheikh Shihab , Al-Islam Ferdib , Islam Md. Rahatul , Rahman Shahid , Parvej Md. Shamim
Published: February 2025

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that requires early diagnosis for effective intervention. Traditional diagnostic tools, such as MRI and CT scans, are often expensive, time-consuming, and inaccessible in underprivileged regions. To address this challenge, this study leverages facial images as a cost-effective and non-invasive alternative for ASD identification. A comprehensive evaluation of twelve pre-trained deep learning models—including ResNet-50, ResNet-101, ResNet-152, MobileNetV2, MobileNetV3, AlexNet, InceptionV1 (GoogleNet), SqueezeNet, EfficientNetB0, DenseNet121, DenseNet201, and VGG16—was conducted. Among these, DenseNet121 emerged as the top-performing model, achieving an accuracy of 90.33%, precision of 92.00%, recall of 92.00%, and an F1-score of 90.00%. Explainable AI techniques, including Local Interpretable Model-Agnostic Explanations (LIME) and Gradient-weighted Class Activation Mapping (Grad-Cam), were applied to highlight facial regions crucial for the model's predictions, enhancing transparency and trust. The proposed DenseNet121 model outperformed previous works. The results demonstrate the efficacy of this approach, offering a reliable, interpretable, and accessible solution for ASD identification, particularly in resource-constrained settings.
Sustainable Co-Working Spaces in Education Institutions: A Data-Driven Analysis of Attributes Influencing Human Interaction
Authors: Wan Ahmad Kamil Wan Sofiya , Mohamad Noraiham , Mohd Rahim Muhammad Firman Haiqal , Zen Zayyinul Hayati , Mohamad Juoi Jariah , Kamat Seri Rahayu , Selamat Siti Rahayu , Abdul Hamid Rahimah , Anang Masuri Mohd Rayme
Published: February 2025

Co-working spaces have gained significant attention as flexible work environments. However, the specific attributes of sustainable co-working spaces that most influence human interaction, particularly in educational institutions, remain underexplored. There is a lack of such space in education institutions for students’ self-studying and self-development outside of formal learning hours. This study focuses on respondents within educational institutions, addressing a significant research gap in sustainable co-working space design for these settings. It aims to identify and evaluate the impact of sustainable co-working space attributes on human interaction. An online survey was developed on Google Forms and distributed via social media platforms, resulting in 65 responses from persons from various levels of education institutions. Using survey data collected from participants, the perceived impact of various attributes – ranging from functional attributes to sustainable attributes – was analysed. A combination of descriptive statistics, ANOVA tests, and post-hoc analyses were conducted to examine significant differences in the perceived impacts of these attributes. Results reveal that core attributes like internet access and open layouts significantly enhance human interactions, while sustainability-focused attributes like green furniture and energy-efficient designs exhibit lower perceived impact. The findings were translated into a prototype sustainable co-working space for a future validation study. These findings underscore the importance of prioritising attributes that foster communication and collaboration in sustainable co-working space design for educational institutions. The study provides actionable recommendations for creating user-centric, sustainable co-working spaces that optimise human interaction.
Remembering the Past in the Present World: Cultural Preservation, Innovation and Challenges of Brunei’s Traditional Handicrafts in the Contemporary World (A Study on Rural Longhouses in Brunei Darussalam)
Authors: Jeffery Nabilah
Published: February 2025

Traditional handicraft industry, a relic of ancient times, is still a surviving industry in today’s contemporary world. While traditional handicraft industry remains as an integral economic backbone for the world’s rural populations, studies on this industry has been predominantly focussed on the macro level of cultural preservation efforts such as technological interventions, innovation strategies, policies and regulations. This study begs to differ; it will delve deeper on the cultural preservation efforts on a micro level (from the entrepreneurs and artisans’ perspectives) and the innovation of traditional handicraft industry using plastic materials and new tools which have been largely neglected in the academic body. This study further examines the insights and experiences of the artisans, simultaneously inquiring on the challenges and uncover the opportunities and support they seek to evolve their craft in a rapidly changing world. Through an in-depth analysis of four longhouses in Brunei Darussalam, this paper strives to provide a comprehensive outlook on the current state and multifaceted dynamics of traditional handicraft industry in Brunei Darussalam, a predominantly neglected context in the academic literature.
The Union Prime Power Order Cayley Graph of Certain Cyclic Groups and their Topological Indices
Authors: Shanmuganathan Hemappriya , Mat Hassim Hazzirah Izzati , Fahd A Alshammari Maryam
Published: February 2025

Cayley graph is a variation of graphs that focuses on constructing and analyzing graphs using algebraic structures. Meanwhile, topological indices of graphs are numerical values that reflect various aspects of the graphs’ structure. Over the years, many variants of Cayley graphs have been constructed due to the significance of understanding the order of elements within a group’s subset but not on the union of subsets with specific order of elements. In this paper, a new variant of Cayley graph, namely the union prime power order Cayley graph of a group  with respect to subset  is formed by combining all possible subsets of . In addition, the union prime power order Cayley graph is constructed for cyclic groups of order  and , where  is a prime, and their generalizations are determined. Moreover, the topological indices, which are the Wiener index, mean distance, first Zagreb index, and second Zagreb index are also computed for these graphs. Existing definitions and theorems of Cayley graphs and topological indices are analyzed to define the new variant of the Cayley graph and establish the general form of its topological indices.
Application of the Banach Contraction Method to the Benjamin-Bona Mahony Equation: Comparative Analysis with the Laplace Adomian Decomposition Method
Authors: Selamat Mat Salim , Mohamad Ozman Nurul Syahiera
Published: February 2025

The Benjamin-Bona Mahony (BBM) equation, a nonlinear dispersive wave model, plays a crucial role in fields such as fluid dynamics and plasma physics. Solving the BBM equation analytically is challenging, necessitating numerical and semi-analytical approaches. This study investigates the application of the Banach Contraction Method (BCM) to the BBM equation, comparing its performance with the Laplace Adomian Decomposition Method (LADM). By employing iterative approximations, BCM demonstrates convergence to unique solutions under specific conditions, ensuring reliability. Two examples of the BBM equation are analyzed, and absolute differences between BCM and LADM results are evaluated for varying spatial and temporal resolutions. The results reveal that both methods exhibit high accuracy, with smaller discrepancies observed for shorter time intervals. However, differences increase with spatial position, suggesting potential sensitivity to spatial dynamics. BCM shows an advantage over LADM due to its strong theoretical framework for ensuring convergence and uniqueness. While LADM offers flexibility in nonlinear term handling, BCM's robustness makes it preferable in critical applications. Recommendations for further research include exploring computational efficiency, extending the comparison to other wave equations, and analyzing higher-order solutions to broaden the applicability of these method
Nota Técnica n. 71 (Dinte) : Assistência tarifária efetiva aos setores econômicos no Brasil : estimativas atualizadas até 2021
Authors: Ribeiro Fernando José da Silva Paiva
Published: February 2025

Esta Nota Técnica apresenta os principais resultados referentes ao indicador de assistência efetiva para os setores produtivos brasileiros, com dados atualizados até 2021. A assistência efetiva é definida como uma estimativa do valor líquido indiretamente recebido pelos produtores domésticos em função da proteção que as tarifas de importação provêm a esses produtores, sob a premissa de que a proteção confere aos produtores locais a possibilidade de fixar os preços no mercado doméstico tendo como referência o preço dos bens importados acrescido do percentual da tarifa. Portanto, o valor da produção doméstica dos bens (e também do consumo intermediário e das vendas no mercado doméstico) já incorporaria o sobrepreço referente à tarifa de importação.
Financial inclusion in the digital era: a key driver for reducing income inequality
Authors: Li Zaiyang , Lunku Hassan Swedy , Yang Shaohua
Published: February 2025

Growing income inequality remains a pressing phenomenon in many developing economies, especially Sub-Saharan Africa (SSA), and may cause discontent in achieving inclusive growth which is crucial for sustainable development. Economies turning to financial inclusion as a critical component of economic development where access to formal financial institutions and services remains limited in the region. Digital technology has the potential to advance financial inclusion by tapping technology to extend financial access to underserved populations, as lack of access to efficient financial products and services can perpetuate income disparities. We employ a generalized quantile regression with an instrumental variables framework to investigate the distributional effects of financial inclusion and digitalization on income inequality in the region. Results imply that the use and adoption of the internet and mobile phones contribute to reducing income inequality, highlighting the transformative potential of digitalization across different quantiles. The findings indicate that public expenditure favors distributional impacts on inequality across quantiles. Our study suggests that policymakers in the region should prioritize the adoption and use of digital technology and foster an enabling policy that encourages the development of digital infrastructure and financial services to ensure widespread access and benefits for all segments of the population.
Periodic Variability of the Central Stars of Planetary Nebulae Surveyed through the Zwicky Transient Facility
Authors: Chen Pinjian , Fang Xuan , Chen Xiaodian , Liu Jifeng
Published: February 2025

A consensus has been reached in recent years that binarity plays an important role in the formation and evolution of a significant fraction of planetary nebulae (PNe). Utilizing the archived photometric data from the Zwicky Transient Facility survey, we conducted a comprehensive data mining in search of brightness variations in a large sample of Galactic PNe. This effort led to identification of 39 PNe, whose central stars exhibit periodic variation in light curves. Among these objects, 20 are known binary central stars of PNe, while the remaining 19 are new discoveries. Additionally, we identified 14 PNe with central stars displaying anomalous variation in light curves, as well as eight variables based on the high-cadence photometric data. Among the new discoveries of periodicity, we found compelling evidence of binary systems at the centers of two archetypal quadrupolar PNe. We also report on very peculiar brightness variation observed in the central core of the compact PN NGC 6833. Several PNe in our sample deserve follow-up observations, both high-dispersion spectroscopy and high-precision photometry, to reveal the true nature of their central binarity or even multiplicity.
Deep Rest-UV JWST/NIRSpec Spectroscopy of Early Galaxies: The Demographics of C iv and N-emitters in the Reionization Era
Authors: Topping Michael W. , Stark Daniel P. , Senchyna Peter , Chen Zuyi , Zitrin Adi , Endsley Ryan , Charlot Stéphane , Furtak Lukas J. , Maseda Michael V. , Plat Adele , Smit Renske , Mainali Ramesh , Chevallard Jacopo , Molyneux Stephen , Rigby Jane R.
Published: February 2025

JWST has recently discovered a subset of reionization era galaxies with ionized gas that is metal-poor in oxygen and carbon but heavily enriched in nitrogen. This abundance pattern is almost never seen in lower-redshift galaxies but is commonly observed in globular cluster stars. We have recently demonstrated that this peculiar abundance pattern appears in a compact (≃20 pc) metal-poor galaxy undergoing a strong burst of star formation. This galaxy was originally selected based on strong C iv emission, indicating a hard radiation field rarely seen locally. In this paper, we present JWST/NIRSpec observations of another reionization-era galaxy known to power strong C iv emission, the z = 7.04 gravitationally lensed galaxy A1703-zd6. The emission-line spectrum reveals this is a metal-poor galaxy (

12
+
log
(
O
/
H
)
=
7.47
±
0.19

) dominated by a young stellar population (

1
.

6

−
0.4

+
0.5

Myr) that powers a very hard ionizing spectrum (C iv equivalent width, EW = 19.4 Å, He ii EW = 2.2 Å). The interstellar medium is highly enriched in nitrogen (

log
(
N
/
O
)
=
−
0.6

) with very high electron densities (8–19 × 104 cm−3) and extreme ionization conditions rarely seen at lower redshift. We also find intense CIV emission (EW ≳ 20 Å) in two new z ≳ 6 metal-poor galaxies. To put these results in context, we search for UV line emission in a sample of 737 z ≳ 4 galaxies with NIRSpec spectra, establishing that 40%(30%) of systems with [O iii]+Hβ EW  >  2000 Å have N iv] (C iv) detections with EW >  5 Å(>  10 Å). These results suggest high N/O ratios, and hard ionizing sources appear in a brief phase following a burst of star formation in compact high-density stellar complexes.
Asteroseismology with TESS: Emergence of Dipole Mode Suppression from Subgiants?
Authors: Lin 林 Shurui 书睿 , Li 李 Tanda 坦达 , Mao 毛 Shude 淑德 , Fuller Jim
Published: February 2025

Dipole mode suppression is an observed behavior of solar-like oscillations in evolved stars. This study aims to search for depressed dipole modes in giant stars using data from the Transiting Exoplanet Survey Satellite (TESS) and investigate when the suppression starts to emerge. We study a sample of 8651 evolved stars from TESS and find 179 stars with significant dipole mode depression by comparing the oscillation amplitudes of radial and dipole modes. Notably, 11 of them are located near the base of the red giant branch, indicating that mode suppression appears earlier than the point inferred in previous studies with Kepler data. These findings provide new evidence for dipole mode suppression in giant stars, particularly in subgiants.
Stellar Loci. VIII. Photometric Metallicities for 100 Million Stars Based on Synthetic Gaia Colors
Authors: Huang 黄 Bowen 博闻 , Yuan 苑 Haibo 海波 , Xu 徐 Shuai 帅 , Xiao 肖 Kai 凯 , Xiang 向 Maosheng 茂盛 , Huang 黄 Yang 样 , Beers Timothy C.
Published: February 2025

We apply the stellar locus method to synthetic (BP–RP)XPSP and (BP–G)XPSP colors derived from corrected Gaia BP/RP (XP) spectra to obtain precise estimates of metallicity for about 100 million stars in the Milky Way (34 million giants in the color range 0.6 < (BP–RP)0 < 1.75 and 65 million dwarfs in the color range 0.2 < (BP–RP)0 < 1.5). The submillimagnitude precision of the derived synthetic stellar colors enables estimates of metallicity for stars as low as [Fe/H] ∼ −4. Multiple validation tests indicate that the typical metallicity precision is between 0.05 and 0.1 dex for both dwarfs and giants at [Fe/H] = 0, as faint as G ∼ 16, and decreases to 0.15–0.25 dex at [Fe/H] = −2.0. For −4.0 < [Fe/H] < −3.0, the typical metallicity precision decreases to on the order of 0.4–0.5 dex, based on the results from the reference sample. Our achieved precision is comparable to or better than previous efforts using the entire XP spectra and about 3 times better than our previous work based on Gaia EDR3 colors. This opens up new opportunities for investigations of stellar populations, the formation and chemical evolution of the Milky Way, the chemistry of stars and star clusters, and the identification of candidate stars for subsequent high-resolution spectroscopic follow-up. The catalog is publicly available at doi:10.12149/101548.
On the Abiotic Origin of Dimethyl Sulfide: Discovery of Dimethyl Sulfide in the Interstellar Medium
Authors: Sanz-Novo Miguel , Rivilla Víctor M. , Endres Christian P. , Lattanzi Valerio , Jiménez-Serra Izaskun , Colzi Laura , Zeng Shaoshan , Megías Andrés , López-Gallifa Álvaro , Martínez-Henares Antonio , San Andrés David , Tercero Belén , de Vicente Pablo , Martín Sergio , Requena-Torres Miguel A. , Caselli Paola , Martín-Pintado Jesús
Published: February 2025

Following the discovery of dimethyl sulfide (DMS; CH3SCH3) signatures in comet 67P/Churyumov–Gerasimenko, we report the first detection of this organosulfur species in the interstellar medium during the exploration of an ultradeep molecular line survey performed toward the Galactic center molecular cloud G+0.693-0.027 with the Yebes 40 m and IRAM 30 m telescopes. We derive a molecular column density of N = (2.6 ± 0.3) × 1013 cm−2, yielding a fractional abundance relative to H2 of ∼1.9 × 10−10. This implies that DMS is a factor of ∼1.6 times less abundant than its structural isomer CH3CH2SH and ∼30 times less abundant than its O-analog dimethyl ether (CH3OCH3) toward this cloud, in excellent agreement with previous results on various O/S pairs. Furthermore, we find a remarkable resemblance between the relative abundance of DMS/CH3OH in G+0.693-0.027 (∼1.7 × 10−3) and in the comet (∼1.3 × 10−3). Although the chemistry of DMS beyond Earth has yet to be fully disclosed, this discovery provides conclusive observational evidence on its efficient abiotic production in the interstellar medium, casting doubt on using DMS as a reliable biomarker in exoplanet science.
Étude de la couche picturale de la Maestà de Cimabue
Authors: Ravaud Élisabeth , Eveno Myriam , Bellec Jean-Louis , Laval Éric , Clivet Laurence , Salinson Philippe
Published: February 2025

L’étude scientifique de la Maestà avant et au cours de sa restauration a permis de préciser la palette comme la technique picturale de Cimabue à l’apogée de son art. Elle révèle une continuation de la tradition du xiiie siècle, mais aussi de nouveaux matériaux et procédés qui seront repris dans les années suivantes, en particulier par le jeune Giotto.
Tracce di spolvero nella Maestà di Santa Trinita. Un’opera che guarda al passato o anticipa il futuro?
Authors: Chiodo Sonia
Published: February 2025

Il contributo presenta i primi risultati dello studio delle fotografie eseguite all’infrarosso della Maestà dipinta da Cimabue per la chiesa dei vallombrosani di Santa Trinita (ora Firenze, Gallerie degli Uffizi). In esse, l’autrice ha individuato tracce consistenti dell’uso dello spolvero, una tecnica di trasferimento del disegno che, fino ad ora, si riteneva non fosse stata usata per la realizzazione di figure prima del Quattrocento inoltrato, nelle opere di artisti di primissimo piano come Paolo Uccello, Domenico Veneziano, Andrea del Castagno, Piero della Francesca. L’uso di questo espediente tecnico da parte di Cimabue è il punto di partenza per una più ampia riflessione sulle istanze formali che lo precedono e per argomentare una datazione dell’opera nella fase più avanzata della sua attività.
Junon au milieu des nuées : une fresque de Giambattista Tiepolo déposée du palais Sagredo au musée du Louvre
Authors: Loire Stéphane , Martos-Levif Dominique , Laveau Alix , Palla Arianne , Kron Morelli Philip
Published: February 2025

La fresque de Giambattista Tiepolo représentant Junon au milieu des nuées, acquise par le musée du Louvre en 2020, a été exécutée pour un palais vénitien vers 1735. En 1901, elle a été détachée de son support d’origine par l’entreprise Steffanoni, spécialisée dans le domaine de la dépose des fresques, avant d’être remontée sur toile et sur châssis. Le contexte de création, la technique d’exécution et l’histoire de cette œuvre sont précisés ici grâce aux travaux de recherche et à la campagne de restauration menés entre 2022 et 2023.
Invisibilité ou inaudibilité ? Ce que l’analyse de l’inaudibilité sociale fait au concept d’invisibilité
Authors: Huchet Élise
Published: February 2025

Si la notion d’invisibilité sociale a donné lieu à des travaux importants et relativement nombreux dans le champ de la philosophie et des sciences sociales, le concept d’inaudibilité sociale, pourtant très proche, n’a en revanche pas fait l’objet d’une attention similaire. En partant de ce constat, l’article vise à interroger la relation entre les deux concepts et les phénomènes qu’il désigne, et défend la nécessité de leur articulation, contre une approche seulement analogique. Dans un deuxième temps, l’article se concentre sur la pensée d’Axel Honneth et met en évidence la centralité de la question de l’inaudibilité sociale dans son travail. Il s’agit ultimement de comprendre en quoi l’analyse de l’inaudibilité peut permettre d’éclairer le phénomène de l’invisibilité sociale.
Depiction of Global Solidarity
Authors: Wu Xinrui
Published: February 2025

The Wandering Earth series has become a dominant presence within Chinese science fiction cinema. This study investigates the portrayal of “a community with a shared future for mankind” within the Chinese sci-fi series. Through qualitative content analysis of The Wandering Earth and The Wandering Earth II, this study explores how the series represents global solidarity on screen. The analysis focuses on the depiction of leading characters, and visual symbolism used in the films to depict a globally unified community, emphasizing the roles of China and non-Western nations in safeguarding humanity. This cinematic approach aligns with global governance and postcolonial theories, underscoring the unique position of Chinese cinema in shaping cultural values and promoting international cooperation through a non-Western lens. The implications of this study extend beyond cinematic analysis, enriching the understanding of Chinese film narratives and their impact on global cooperation, contributing to the broader dialogue on the evolution and influence of Chinese sci-fi films in a global context.
Optimising Water Use Through Smart Models and Artificial Intelligence
Authors: Ortiz Jaime Aguilar , Zamudio-García Víctor Manuel
Published: February 2025

This study examines the use of advanced AI techniques to optimize water management in three key areas: water quality prediction, leak detection, and water distribution. By applying ensemble learning models like Random Forest, Gradient Boosting, AdaBoost, and Bagging, the research addresses the complexities of managing water resources, such as non-linear data patterns and the need for high predictive accuracy. Integrating AI models with real-time data and IoT technologies enhances the adaptability of water management, enabling real-time monitoring and decision-making for efficient and sustainable resource use. These AI-driven approaches improve operational efficiency by optimizing water distribution and minimizing losses from leaks while ensuring accurate water quality predictions. This contributes to better decision-making, crucial for public health and environmental sustainability. The study highlights the transformative potential of AI in water management, advocating for its broader adoption to meet the challenges posed by urbanization, population growth, and climate change.
An Optimal Method of Assessing the Quality of Water Using Integrated AI and Blockchain Methodology
Authors: Renugadevi R.
Published: February 2025

Water quality deterioration has become increasingly severe recently due to various factors. Pollution, climate change, and population growth all contribute to this issue. Contaminants such as microorganisms, heavy metals, and excessive nitrogen and phosphorous disrupt water pH levels, posing significant health risks. Despite advancements in IoT for maintaining pH balance through chlorine and fluoride addition after disinfection, security threats like distributed denial of service attacks, data manipulation, and session hijacking affect water treatment plant operations. This compromises water safety, leading to health problems and reduced life expectancy. To address these challenges, we propose integrating AI and blockchain technology into water treatment plant management. Our method utilizes a standard dataset on water quality parameters such as pH and total hardness to classify water as potable or non-potable.
Integrating AI in Green and Blue Infrastructure for Sustainable Smart Cities
Authors: Martinez-Mireles Josue Roman , Rodriguez-Flores Jazmin , Figueroa-Diaz Rafael Alfonso , Garcia-Escorza Brenda Berenice , Garcia-Marquez Marco Antonio , Austria-Cornejo Arturo
Published: February 2025

The future of sustainable smart cities is based on effective collaboration between technology, policy and community engagement, with the integration of artificial intelligence (AI) into urban planning is rapidly transforming the way cities manage their environmental resources. This innovative technology has the potential to improve the functionality of green and blue infrastructure, offering sustainable solutions that address both ecological conservation and urbanization challenges. As cities strive for sustainability, the application of AI enables real-time monitoring and predictive analytics, facilitating more informed decision-making that balances human needs with ecological demands. In conclusion, while the integration of AI holds great promise for transforming urban environments, it simultaneously requires a comprehensive framework that prioritizes sustainability, equity, and active citizen participation in shaping the cities of the future.
Steering the AI Revolution in Local Governments
Authors: Lahdili Nadia , Nyadera Israel Nyaburi
Published: February 2025

Local governments are transitioning from traditional systems to digital platforms, with artificial intelligence (AI) playing a transformative role in this shift. AI offers innovative solutions to manage administrative complexity, enhance service delivery, and promote inclusive governance and sustainability. As the most accessible tier of government, local administrations are uniquely positioned to address citizens' needs efficiently. By leveraging AI, they can decentralize services, improve resource management, and optimize infrastructure. AI applications, such as chatbots and data analysis tools, streamline citizen interactions, optimize resource allocation, and forecast public trends. However, financial constraints, data privacy concerns, and algorithmic biases challenge AI integration. Ensuring robust governance frameworks and compliance with regulations like GDPR is vital for public trust.
Cost-Effective Sustainable Energy Solutions for Turkey
Authors: Okay Esin
Published: February 2025

Artificial intelligence (AI) is an essential high value technology that upgrades science globally increasing wealth and decreasing costs. Intersection of renewable energy and AI can lead to great achievement and progress for global eco-efficiency enhancing and widespreading alternative sources of energy all over the world. By all means, there is considerable energy investments combined with AI in the eco-efficient countries. However, AI global readiness is still not enough. Interestingly, Turkey's adaptation of AI level is even better than the renewable energy dependency rank by prolonged practices of renewables. Turkey is still far beyond the desired level of eco-efficiency and affordable energy. After all, economic disruption deepened in Turkey since pandemic, with huge corporate debts worsening financial situation and decreasing investments that unfortunately affect both AI and any type of renewable energy projects. This study emphasizes the great potential of renewables in Turkey and yet needs transformation by the help of AI driven projects.
Intentions and Premises
Authors: Arslan Alp Cenk
Published: February 2025

This chapter evaluates the sustainability premises of the strategy documents on AI for U.S. security institutions regarding intent, and foundational assumptions. While doing so, the paper covers a discussion of the position of AI in public administration and how sustainability is captured within these strategies in the security sector. These results indicate that U.S. security institutions work toward enhancing effectiveness in operations using AI, but also address the long-term, critical challenges on energy efficiency, social equity, and economic responsibility. The concept of sustainability is based on assumptions, such as the fact that AI should serve today's needs while protecting those of future generations. This can also be interpreted to mean a far stronger integration of secure-by-design principles and a much wider focus on minimizing negative societal impacts of AI. It therefore helps provide an insight into how AI governance evolves through a complex adaptive system in framing strategic foresight of sustainability in developing balanced and ethical AI applications.
The Use of Artificial Intelligence in the Turkish Judiciary
Authors: Ulaşan Fatih
Published: February 2025

The Turkish judicial system is very fragmented and each unit has its own rules, it is more accurate to focus on the benefits of AI to the Turkish judicial system in general rather than examining the units in the Turkish judicial system one by one. In addition, preliminary preparations are vital for governmental duties, education and legal strategies in order to use AI more efficiently. The proposed ways for the application of AI-based tools for the utilization of the AI-based technology in Turkish courts will be analyzed. The problem of acceptability and serviceability of AI in the Turkish judiciary will be analyzed by the help of previous studies, legal reasonings, current examples and existing theories. Firstly, examples around the world regarding the usage of AI systems in law will be discussed. Secondly, examples from Türkiye regarding the usage of AI in law will be discussed. Finally, whether the decision-making mechanism in Turkish law is compatible with the AI systems will be discussed and recommendations will be made to increase the use of the AI systems.
RFID-Enabled Wireless Charging System for Electric Vehicles
Authors: Bisht Sarthak , Mittal Tia , Bhambhani Karan , Naga Malleswari T. Y. J.
Published: February 2025

The RFID-Enabled Wireless Charging System for Electric Vehicles (EVs) represents a significant advancement in sustainable transportation infra- structure. By integrating Radio Frequency Identification (RFID) technology with wireless charging capabilities, the system not only enhances user experience but also promotes environmental sustainability. One key feature of the system is its security and efficiency. Charging is initiated only when a valid RFID card is swiped, ensuring that only authorized users can access the charging facility. This helps prevent unauthorized usage and ensures that the system operates smoothly and efficiently. The system allows EV batteries to be charged using solar panels, tapping into renewable energy sources and reducing reliance on non-renewable energy. This not only reduces the carbon footprint of EV charging but also promotes the use of clean energy in transportation. The wireless charging capability of the system is facilitated by two copper coils one on the charging pad and the other integrated into the EV.
Enhancing Public Safety in Developing Countries Using a Mobile Application Solution
Authors: Mayowa Moyinoluwalogo , Otuka Richard I. , Ajienka Nemitari , Nwajana Augustine O.
Published: February 2025

In today's world, the escalating global insecurity poses significant challenges for both developed and undeveloped countries. The high crime rates and shortcomings in reporting crimes are pressing issues, emphasizing just how crucial it is to ensure the safety of citizens. While law enforcement agencies play a vital role, relying solely on them is insufficient. Embracing modern technology and fostering active citizen participation are essential to address these concerns effectively. This research adopts an agile methodology to tackle the above concerns. The result of this approach is the development of a user-friendly mobile application that leverages cutting-edge technology. The primary objective of this application is to effectively map incidents of crime and provide real-time alerts, thereby significantly enhancing citizen security. With this, users are empowered to report criminal incidents directly from their smartphones, eliminating the need to physically approach law enforcement authorities.
An ITS-G5 Antenna for Vehicle Communication
Authors: Ogbodo Eugene Amobichukwu , Ukala Azunka N. , Saifur Rahman
Published: February 2025

Intelligent Transportation Systems (ITS) represent a revolutionary integration of advanced information and communication technologies into transportation infrastructure and vehicles. This integration aims to significantly enhance the safety, efficiency, and sustainability of transportation networks across the globe. ITS is transformative, moving beyond mere enhancements of existing frameworks to leverage a broad spectrum of cutting-edge technologies, including real-time traffic monitoring, adaptive signal control, sophisticated vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems, alongside advanced public transit solutions. This chapter offers an extensive overview of ITS, encapsulating its diverse technologies, widespread applications, and profound impact on global transportation systems. It introduces a paradigm shift in the conceptualization and management of transportation systems, addressing pressing urban challenges such as congestion, safety, and sustainability.