bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracellular vesicle inclusion of aVb3 integrin dependent on caveolin-1 tyrosine-14 phosphorylation and subsequent transfer to recipient melanoma cells promotes migration, invasion and metastasis
Authors: Huilcaman Ricardo , Campos America , Orellana Pamela , Simon Layla , Varas-Godoy Manuel , Grünenwald F , Baohai Shao , Heinecke Jay , Lobos-Gonzalez Lorena , Leyton Lisette , Quest Andrew. F. G. 
Published: December 2024

Abstract

Caveolin-1 (CAV1) is a membrane protein that promotes migration, invasion and metastasis of cancer cells when phosphorylated on tyrosine-14 (Y14) by a cell intrinsic mechanism involving the activation of a novel Rab5-Rac1 signaling axis. Moreover, CAV1 expressed in aggressive cancer cells is included into extracellular vesicles (EVs) and such EVs increase the metastatic potential of recipient lower grade cancer cells. However, the relevance of CAV1 Y14 phosphorylation in these extrinsic EV-stimulated events remained to be determined. Here we used B16F10 mouse melanoma cells over-expressing wild-type CAV1, phospho-mimetic CAV1(Y14E) or phospho-null CAV1(Y14F) as models to determine how the EV protein content was affected by Y14 phosphorylation and how these EVs modulated the metastatic potential of recipient B16F10 cells lacking CAV1. EVs from B16F10 cells over-expressing wild-type and CAV1(Y14/E) contain CAV1, and other proteins linked to signaling pathways associated with cell adhesion and migration. CAV1 inclusion in EVs was reduced by the Y14F mutation and global protein composition was also significantly different. Moreover, CAV1 wild-type and CAV1(Y14E) EVs promoted migration, as well as invasion of cells lacking CAV1 [B16F10(Mock) cells]. In addition, β3 integrin was transferred via CAV1(Y14E) EVs to B16F10 (Mock) cells, and treatment with such EVs promoted metastasis of recipient B16F10(Mock) cells. Finally, CAV1(Y14E) EV-enhanced migration, invasion and metastasis of recipient cells was blocked by anti-αVβ3 antibodies. In conclusion, CAV1 phosphorylated on Y14 not only intrinsically promotes migration, invasion and metastasis of cells expressing the protein (in cis), but also favors the inclusion of CAV1 into EVs, as well as the extrinsic acquisition of malignant traits in recipient cells, through integrin transfer (in trans).
Enhanced removal of Crystal violet dye from aqueous solution using Synthesized ZnO, Zn 1-x Fe x O, and Zn 1-x Cu x O nanoparticles: Synthesis, Characterization, Kinetic and Adsorption studies
Authors: Tekyeh Masome Naseri , Mehrparvar Dariush , Moradian Rostam , Mahdavi Shahriar 
Published: December 2024

Abstract

Unlike other industrial processes, the textile industry has the highest negative environmental impact due to the bulky dimensions of wastewater polluted with dyes and chemical additives. It is well known that these pollutants damage the ecosystems. In this study, ZnO, Zn1 − xFexO, and Zn1 − xCuxO nanoparticles (NPs) were synthesized using the sol-gel method and characterized through UV-vis spectroscopy, XRD, FTIR, FESEM, and EDX. Furthermore, ZnO, Zn1 − xFexO, and Zn1 − xCuxO NPs have been used to remove toxic crystal violet (CV) dye from water by surface adsorption. During the batch adsorption process, we examined the impact of several parameters such as time, dose of adsorbent, pH, concentration of CV, and temperature. The experimental data agreed with the Langmuir isotherm and pseudo-second-order kinetic model for three NPs. The CV adsorption on all NPs was spontaneous and endothermic. The maximum adsorption capacities of CV on ZnO, Zn1 − xFexO, and Zn1 − xCuxO NPs were 4.99, 4.58, and 4.58 mg/g, respectively.
Association between Non-High-Density Lipoprotein to High-Density Lipoprotein Cholesterol Ratio (NHHR) and α-1 Acid Glycoprotein Levels in Adult Women (NHANES 2015-2020)
Authors: Tian Rongqian , Huang Hui , Zhang Jinrong , Ming Wai-Kit , Jiang Yuzhen , Liu Saijun , Luo Xiaoping , Zheng Xinkai , Lyu Jun , Deng Liehua 
Published: December 2024

Abstract

Background
Currently, an important lipid marker for assessing the risk of chronic inflammation and metabolic disorders is considered to be the non-HDL cholesterol to HDL cholesterol ratio (NHHR). This study aimed to examine the association between NHHR and the inflammatory biomarker alpha-1 acid glycoprotein (AGP) and assess the potential of NHHR as an inflammatory marker for chronic inflammation.
Methods
This cross-sectional analysis used serum samples from adult women participating in the National Health and Nutrition Examination Survey (NHANES) conducted between 2015 and 2020. The NHHR was treated as the independent variable, with AGP as the dependent variable. Multivariate linear regression was used to analyze the association between NHHR and AGP. Nonlinear associations were examined using spline regression and threshold effect analysis. Furthermore, subgroup and sensitivity evaluations were performed to evaluate the reliability of the findings.
Results
The analysis included 3,027 adult women, revealing a significant positive correlation between NHHR and AGP levels. Each incremental increase in NHHR was correlated with a 0.605 mg/dL increase in square-root-transformed AGP levels, as found in the fully adjusted model. Nonlinear analysis revealed a threshold effect at a critical value of 3.167, suggesting that the relationship between the NHHR and AGP was more pronounced below this threshold. Further subgrouping and sensitivity analyses confirmed that the connection between NHHR and AGP was consistent across most of the population.
Conclusions
For the first time, this research reveals a direct relationship between NHHR and AGP, and also shows that a novel biomarker that can assess chronic inflammation is NHHR. These findings underscore the critical importance of regular monitoring of NHHR and AGP levels to enhance health management, particularly in the realm of chronic disease prevention and intervention strategies.
Shifts in ridership, satisfaction, and willingness to pay when buses are electrified
Authors: Salvo Alberto , Wong Timothy 
Published: December 2024

Abstract

Do citizens value electrification of public transport? Consumer theory predicts that cleaner and quieter services will attract commuters to electric buses as these displace conventional diesel. This response has not been tested, despite the vast investment planned by local governments and school districts worldwide as they decarbonize and tackle local air pollution and traffic gridlock. Here we provide a three-pronged analysis of the empirical demand response to bus electrification. First, ridership increases with the timing, duration, and intensity of a bus line’s electrification. Second, commuters alighting from electric buses report higher satisfaction with noise, fumes, and smell compared with a diesel bus control. Third, residents of a neighborhood exposed to electric buses for over one year are willing to pay US$ 0.085 for an electric relative to a diesel bus ride, which amounts to US$ 20 per resident per year. Consumer welfare gains are $250,000 per electric bus procured, a neglected local demand-side co-benefit in public transit’s energy transition that is comparable to the carbon savings.
MAEL: Meta-Active Semi-Supervised Ensemble Learning Model for DDoS Attack Detection
Authors: Kamel Ali El , Saidane Ahmed , Youssed Habib 
Published: December 2024

Abstract

Cyberattacks against businesses have significantly increased in recent years, causing significant financial losses as well as privacy violations. Because of their harmful consequences on network infrastructure, including the depletion of computational resources and the saturation of communication channels, Distributed Denial of Service (DDoS) attacks stand out among these threats. In order to protect big networks, it is now essential to create effective ways to identify and stop DDoS attacks. However, using supervised learning models in DDoS attacks detection seems to be no longer appropriate, taking in consideration the fast growth of DDoS attacks in style and frequency. It is advised to use online semi-supervised learning models for identifying misbehaving flows and probable DDoS attacks by extending knowledge of labeled flows across unlabeled flows using graph-based learning models. Graph Neural Networks (GNNs), a subset of Neural Networks, excel in processing graph-structured data, offering promising avenues for innovation in this domain.
This paper proposes an efficient GNN-based approach to detect DDoS attacks when flows are partially labeled. It involves a sequential application of multiple GNN layers to compute flow embeddings, capturing relevant information about the hosts involved in forwarding network traffic. These flow embeddings serve as inputs to a binary classifier, which predicts the likely label of each flow. Experimental results demonstrate the effectiveness of the proposed approach, showcasing notable improvements in key performance metrics such as accuracy, precision, and F1-Score.
Machine Vision with CMOS based Hyperspectral Image Sensor Enables Meat Freshness Sensing
Authors: Lee Suyeon , Kim Hyochul , Kim Seokin , Han Jeong Su , Kim Un Jeong 
Published: December 2024

Abstract

Imaging spectral information and analyzing its properties of materials have become intriguing for consumer electronics toward food inspection, beauty care and etc. Those sensory physical quantities are difficult to quantify. Hyperspectral cameras, which capture its figure and spectral information simultaneously, can be a good candidate for non-destructive remote sensing. In this study, with the aid of a hyperspectral imaging system (HIS) and machine learning (ML), meat freshness is converted into a measurable physical quantity, i.e., freshness index (FI). FI is defined from meat fluorescence, which has a strong correlation with bacterial density. Combined with ML techniques, hyperspectral data are processed more efficiently. By employing linear discriminant and quadratic component analyses, FI can be estimated from its decision boundary after hyperspectral data are obtained at an unknown freshness state. We demonstrate HIS grafted with ML performs as artificial eye and brain which is advanced machine vision for consumer electronics including refrigerators and smartphones. Advanced sensing versatility utilized by computational sensing systems allows hyper-personalization and hyper-customization of human life.
The Impact of Synergistic Antileishmanial Activity of Ag: Se Core-Shell Nanoparticles Synthesized with Plantago lanceolate leishmania tropica
Authors: Jaber Zahraa B , Ardalan Naksheen M. 
Published: December 2024

Abstract

Cutaneous leishmaniasis (CL) poses a significant health threat. At present, miltefosine is the primary treatment for CL. Due to the high levels of resistance and associated side effects, researchers are investigating alternative therapeutic options, particularly the use of nanoparticles. This study aimed to synthesize Ag Se core-shell nanoparticles at concentrations of 125 and 250 µg mL-1 through the plasma jet process, examining the combined effects of Ag Se nanoparticles with Plantago lanceolata L. extract at concentrations of 125 and 250 µg mL-1 on Leishmania tropica. Miltefosine, an established anti-leishmaniasis medication, served as the control in this research. Silver nanoparticles (Ag NPs) were synthesized using an extract from P. lanceolata at concentrations of 125 and 250 µg mL-1, in a 3:7 ratio. The characterization of the synthesized Ag NPs was conducted through various techniques, including UV-visible spectroscopy, X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and transmission electron microscopy (TEM). This experimental investigation assessed the anti-leishmanial efficacy of the Ag Se NPs at concentrations of 125 and 250 µg mL-1, utilizing dilutions of 25%, 50%, and 100% overexposure periods of 1, 24, and 48 hours on a sample of 1×10^4 live parasites. The quantification of live parasites was performed using Trypan blue and Giemsa stain on a hemocytometer slide. The findings from this study, conducted one hour post-treatment administration, indicated no significant differences among the various exposure treatments. Notably, the concentration of 100% Ag Se NPs at 250 µg mL-1 exhibited the most pronounced anti-leishmanial effect, recorded at 30.4%. Furthermore, the combination of Ag Se NPs (250 µg mL-1) with P. lanceolata L. extract (250 µg mL-1) resulted in a growth inhibition of 49.3% after a synergistic effect observed over 48 hours. In summary, Ag: Se NPs demonstrate an inhibitory effect on the growth of L. tropica.
Improving Indian Ocean Analysis using ROMS with Sea Level Anomaly Assimilation
Authors: Baduru Balaji 
Published: December 2024

Abstract

Regional Analysis of Indian OceaN (RAIN) system, an advanced data assimilation framework,was developed to improve ocean state forecasts in the Indian Ocean. RAIN assimilates in-situ temperature, salinity profiles, and along-track Sea Surface Temperature (SST) using Local Ensemble Transform Kalman Filter (LETKF) blended with Regional Ocean Modeling System (ROMS). The RAIN system has been upgraded in the present study to improve forecast accuracy by incorporating satellite-derived Sea Level Anomaly (SLA), which captures variations in sea surface height caused by oceanic processes like currents, eddies, and mesoscale dynamics. Assimilating SLA in the ROMS is challenging as the model estimated SLA is not characteristically at par with the observed SLA. Steric effects are neglected in the model estimated SLA whereas satellite altimetry measurements include steric height as well. To address this, a steric correction is applied to SLA observations before assimilation to account for the thermal expansion and aligning observed SLA with the ROMS framework. The RAIN system employs a sequential assimilation strategy to integrate corrected SLA alongside in-situ temperature, salinity, and SST to generate a comprehensive ocean state analysis. Assimilation of modified SLA significantly enhances the ability of the RAIN system to forecast ocean states accurately. The upgraded RAIN system enhances the representation of ocean dynamics and mesoscale features, leading to more reliable predictions crucial for marine navigation, climate research, and environmental monitoring in the Indian Ocean region.
Sero-prevalence and Potential Risk Factors of Peste Des Petits Ruminants in Goats in Mandhera District, Sahil Region, Somaliland
Authors: Abdi Abdirahman Saed 
Published: December 2024

Abstract

A Peste des Petits Ruminant (PPR) is highly contagious diseases of small ruminants, causing socioeconomic loss estimated for millions of dollars annually. The limited studies in Somaliland are not systematically coordinated to elucidate the national status of the disease and so more in study area, Sahil region. Therefore, this cross-sectional study was aimed to estimate the seroprevalence and assess potential risk factors of PPRV in unvaccinated goats in selected district, Sahil region, Somaliland. A multi-stage random sampling was used to select study villages and herds with a random sampling approach. Study animals (522 goats) both sexes older than 6 months was selected with a simple random sampling. From the animals, blood samples were aseptically collected and PPRV antibodies from the serum were analyzed using competitive Enzyme Linked Immunosorbent Assay (c-ELISA). A checklist was used to collect associated epidemiological risk factors. Associated risk factors with the occurrence of PPR were analyzed using univariable and multivariable logistic regression. The overall seroprevalence of PPR was 5.3%. Goats from medium flock sizes, were almost 5 times higher chance of being seropositive than the small flock size (AOR= 5.2, 95% CI: 1.5 – 14.3,P=0.003). Also goats reared together with sheep were almost 4 times higher chance (AOR=4.2, 95% CI: 1.7-15.7, P=0.047) seropositive than those raised separately. Grazing place and age were less likely risk of becoming seropositive to PPRV antibodies than their counterparts. The seropositivity indicates the existence of PPRV circulating in the entire study area. To confirm the effect of mixing different species, spatial distribution, identification of exact PPRV lineage and continuous monitoring and surveillance, further studies on the country level are necessary towards the control and eradication of the disease.
OS DESAFIOS NA RELAÇÃO PROFESSOR-ALUNO EM TEMPOS DE PANDEMIA DA COVID-19
Authors: Nunes Maria Jose de Castro , Conceição Willian Lazaretti da 
Published: December 2024

O presente artigo tem por objetivo apresentar as análises acerca dos maiores desafios estabelecidos na relação professor-aluno na modalidade de Educação Remota, no contexto da pandemia da COVID-19 sob a perspectiva dos docentes, graduandos e pós graduandos do Instituto de Ciências da Educação, da Universidade Federal do Pará, elencando as adaptações necessárias realizadas para efetividade no processo de ensino-aprendizagem, as dificuldades no acesso à internet e o uso das Tecnologias Digitais da Informação e Tecnologia - TDICs, assim como buscar entender a relação professor-aluno no período pandêmico. Optou-se por uma pesquisa documental e bibliográfica, com estudo exploratório e descritivo, com abordagem quali-quantitativa, a partir das respostas obtidas via questionário, tendo como público alvo professores e alunos do Instituto de Ciências da Educação da Universidade Federal do Pará, abrangendo os cursos de graduação de Licenciatura em Pedagogia e Educação Física e Pós Graduação. Dentre os resultados obtidos, notou-se I) As dificuldades no acesso à internet e as Tecnologias Digitais da Informação e Comunicação - TDICs utilizadas no Ensino Remoto durante o contexto; II) A relação professor- aluno e seus desafios no Ensino Remoto em tempos de pandemia e III) Maiores desafios da Educação Remota sob a perspectiva dos docentes, graduandos e pós graduandos.
ANÁLISE PRELIMINAR DO IMPACTO DA PANDEMIA NA EDUCAÇÃO ESPECIAL PELA ÓTICA DE PROFESSORES DA SALA DE RECURSO MULTIFUNCIONAL EM PARINTINS NO BAIXO AMAZONAS
Authors: Souza de Sena dos Santos Beatriz , Diniz Pereira Denilson 
Published: December 2024

A partir da contemporaneidade a Educação Especial ganha destaque acarretando mudança de paradigmas no que concerne o processo de inclusão de verdade e garantir a aprendizagem de todos os alunos na escola regular, fortalecendo a formação dos professores e criando uma rede de apoio entre alunos, docentes, gestores escolares, famílias e profissionais de saúde a partir do período pandêmico que o mundo vivenciou com a COVID-19. Este Trabalho de Conclusão de Curso, origina-se a partir de um problema que atingiu diretamente questões histórico-sociais, no âmbito das escolas públicas do município de Parintins no Baixo Amazonas, por meio de observações, conversas e diálogos informais com os professores de Salas de Recursos Multifuncionais. Realizou-se um levantamento bibliográfico das legislações e marcos importantes para o campo da Educação Especial, dando destaque ao Atendimento Educacional Especializados (AEE) em SRM e os impactados da COVID-19 nas mesmas, baseado nos autores Diniz (2021 e 2022), Marquezini, Tanaka, Busto (2013), Soares e Carvalho (2012), Figueira (2016). Os resultados apontam para a importância do AEE na SRM para o acompanhamento adequado dos alunos que necessitam, apontando a relevância desse atendimento em período pandêmico.

Palavras-Chaves: Pandemia, Educação Especial, Sala de Recurso Multifuncional.
Enhancing Hajj Education through Interactive Multimedia Game-Based Learning
Authors: bin Abd Rahman Mohd Shukor , Bin Deraman Alias , Bin Zul Haikal Haziem 
Published: December 2024

The Hajj pilgrimage, a fundamental aspect of Islamic education, often lacks engaging educational tools to convey its experiential and cultural significance. However, traditional methods fail to bridge the gap between theoretical knowledge and practical understanding. Therefore, this study presents the development and evaluation of the “Islamic Insight: Hajj Board Game,” an interactive 2D Game-Based Learning (GBL) tool designed to educate students about the Hajj pilgrimage. The game was developed using Agile methodology, incorporating Unity, Canva, and Microsoft Visual Studio tools. The primary objectives were to design a comprehensive storyboard, create the game, and evaluate user experience. The evaluation phase utilized the Game Experience Questionnaire (GEQ) to gather insights from 39 respondents. The GEQ results indicated a positive reception, with high ratings in competence (mean = 4.26) and immersion (mean = 3.85). Participants found the game engaging and educational, with positive affect scoring a mean of 3.35. However, the challenge aspect received a moderate rating (mean = 2.58), and the negative effect was low (mean = 2.18), suggesting minimal negative emotions during gameplay. Overall, the Hajj Board Game successfully provided an engaging and informative experience, enhancing students’ understanding of the Hajj pilgrimage. Future research should focus on improving accessibility and expanding the game to mobile platforms to reach a broader audience.
Game-based Learning of Fundamentals of Islam
Authors: Shari Anis Amilah , Khairuddin Mohamad Hafiz , Tarmezdi Iman Zakry , Mohd Noordin Mohd Rahmat 
Published: December 2024

Back in the old days, our method of learning Islamic Education was always the traditional way which included pen and paper and two-way communication between a teacher and the student. In this digital era, a new method of learning has been implemented which uses electronic devices. Learning Islamic Education often creates boredom among young students, and this will affect their concentration and understanding. To cater to this problem, a game-based learning method needs to be implemented in classrooms. The scope of the project is for young learners of Islamic Education in primary school. This study aims to research the effectiveness of game-based learning methods by using video games. The development of the game is based on the Game Development Life Cycle (GDLC) methodology. GBL Model is the model that was used to ensure it fits for education purposes. Results show that most players understand the learning content and suggest there is room for improvement.
Laws Related to Leaving Islam in Malaysia: Issues and Challenges in Legislation and Enforcement
Authors: Pg Musa Pg Ismail bin , bin Mohd Yusof Jal Zabdi , Bin Tahir Zulazhar , Erlen Joni Ekmil Krisnawati 
Published: December 2024

Schedule Nine of the Federal Constitution allows state governments to enact laws related to Islam within the scope of the schedule, including those relating to renouncing Islam and associated matters. Currently, states like Negeri Sembilan and Sarawak have enacted laws or procedures governing the process of leaving Islam. Through doctrinal study and existing legal texts, three main approaches are identified: criminalizing apostasy under Syariah law, addressing it through a mal application, and combining punitive and rehabilitative elements, such as istitabah (repentance) through the criminal process. Agencies directly involved include the State Religious Department, the State Religious Council, the Mufti's Office, and the Syariah Court. However, some applicants file Civil court cases to avoid the lengthy Syariah Court process. Furthermore, there are almost no reported cases of Syariah prosecution resulting from applications to leave Islam, which may relate to society’s varying views of apostasy, whether it is a criminal act (riddah) or a matter of religious freedom.