bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROPOSTA DE SINAIS-TERMO PARA PROMOÇÃO DA SAÚDE DA MULHER: GARANTIA PLENA DO DIREITO LINGUÍSTICO DA MULHER SURDA
Authors: Mendes Francisco Gildete S. Amorim 
Published: September 2024

O presente estudo se fundamenta nas discussões levantadas por diversos pesquisadores sobre a acessibilidade da saúde da mulher. São apresentadas as dificuldades de compreensão nos serviços de saúde – tanto para os profissionais do ramo quanto para os pacientes surdos, onde são trazidos relatos de insatisfação de ambas as partes com relação à comunicação. Desta forma, a presente pesquisa tem como objetivo apresentar os trabalhos já desenvolvidos no escopo da acessibilidade em saúde da mulher, especialmente com vistas a produzir o Glossário Bilíngue (Libras-Português) de Saúde da Mulher. Para isso, optou-se por uma busca preliminar de estudos que compõem a revisão de literatura, reunindo as perspectivas de pesquisadores e estudiosos da área. Os resultados se apresentam inicialmente em forma de tabela com sinais em Libras, a partir de vídeos disponíveis gratuitamente nas plataformas digitais. Foram elaboradas cinco fichas terminológicas que indicam uma parte dos 73 sinais-termo que estão sendo desenvolvidos. A elaboração dos materiais demonstrou atender uma carência que ainda se observa quanto à comunicação médico-paciente – que deve estar pautada nos direitos preconizados pelas legislações. Além disso, este estudo buscou incentivar a produção de novos materiais e conteúdos sobre o assunto em tela.
“MULHER-SURDA-PROFESSORA”: PROTAGONISMO NA EDUCAÇÃO DE SURDOS NO RIO GRANDE DO SUL
Authors: Gomes Lara Ana Paula 
Published: September 2024

Nunca como no contemporâneo o protagonismo da mulher na área da educação esteve em ascendência. Daí resulta olhar para a “mulher-surda-professora”2 presente em nossos tempos. A educação é um dos campos mais propícios para facilitar o protagonismo. E a mulher surda, nele, sente-se como sujeito diferente e útil. Com este artigo tencionamos citar a presença das “mulheres-surdas-professoras” e, com isso, apresentar suas contribuições à Pedagogia Surda3. Percebe se a importância da presença dessas “mulheres-surdas-professoras” na transformação necessária que acontece visando os espaços da educação bilíngue.
The effect of plastic waste on the coastal socio-economic community of the Lantebung in Makassar City, South Sulawesi Province, Indonesia
Authors: Daris Lukman , Andi Nur Apung  , Wahyuti  , Irwansyah  
Published: September 2024

Mangrove ecosystems provide various ecological and economic functions, such as environmental services as an ecotourism area. This study aims to determine the factors that influence plastic waste on the socio-economic life of coastal communities in the Lantebung area. The data in this study are primary data obtained from interviews with respondents with structured questions and statements. The data collection method with structured interview and data analysis used in this research is an impressional statistical method with an SEM approach. The results of the data analysis, the factors that affect plastic waste are the volume of waste with a loading factor value of 0.966. In contrast, the factors that affect the social economy is a loading factor value of 0.732. Plastic waste has a significant relationship to the socio-economic community, with a P value of 0.018 less than 0.05. The direction of the relationship between plastic waste and the socio-economic community is negative, with -0.240, meaning that the higher the plastic waste, the socio-economic community in the Lantebung mangrove area will decrease.
PERLINDUNGAN HUKUM TERHADAP PERUBAHAN MEREK TERKENAL MENJADI MEREK GENERIK BERDASARKAN UNDANG-UNDANG NOMOR 20 TAHUN 2016
Authors: Septianingrum Reni Eka , Sulistiyono Adi 
Published: September 2024

<p class="MsoNormal" style="margin-top: 12.0pt; margin-right: 0cm; margin-bottom: .0001pt; margin-left: 0cm; text-align: justify; line-height: normal;"><em><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif;">This articles aim to determine the legal protection of well-known trademark into generic trademark in the Intellectual Property Law system in Indonesia. This writing is a normative legal research with prescriptive research characteristics. Legal materials used in this research are primary and secondary legal materials that are collected by using literature study techniques. The author in conducting this research uses a statutory approach, a case approach, a conceptual approach, and a comparative approach. Based on the results of the discussion, it was concluded that a well-known registered mark that proved to be transformed into a generic brand would lose its distinguishing power, so that such a brand has weak legal protection and has the potential to face a lawsuit for cancellation. However, under certain conditions, there are marks that are indicated to have changed to become generic and still receive legal protection and remain registered, provided that the mark is able to build secondary meaning by public understanding.</span></em></p><strong><em><span style="font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Generic Trademark; Legal Protection; Wellknown Trademark </span></em></strong>
No Discernible Difference in Revision Rate or Survivorship Between Posterior Cruciate-Retaining and Posterior Cruciate-Substituting TKA
Authors: Kim Young-Hoo , Park Jang-Won , Jang Young-Soo , Kim Eun-Jung 
Published: September 2024

Background:
Many authors and the data of multiple registries have suggested that the use of posterior cruciate-substituting (posterior stabilized [PS]) total knee arthroplasty (TKA) leads to a higher risk of revision compared with the use of posterior cruciate-retaining (CR) TKA. The aim of the present prospective, randomized, long-term study was to compare PS and CR TKA with regard to the clinical, radiographic, and computed tomography (CT) results; the prevalence of osteolysis; revision rate; and survivorship.

Methods:
This study included a consecutive series of 300 patients (mean age [and standard deviation], 63.6 ± 6 years) who underwent simultaneous, bilateral TKA in the same anesthetic session. Each patient received a NexGen CR-Flex prosthesis on 1 side and a NexGen LPS-Flex prosthesis on the contralateral side. The mean follow-up period was 18 years (range, 17.5 to 19.5 years).

Results:
There were no significant differences between the NexGen CR and LPS-Flex TKA groups at the latest follow-up with regard to the mean Knee Society knee score (93 versus 92 points, respectively); the Western Ontario and McMaster Universities Osteoarthritis Index score (19.1 points for both); the University of California Los Angeles activity score (6.1 points for both); range of motion (125° ± 6.1° versus 126° ± 6.5°); radiographic and CT results; and revision rate (6.0% versus 6.3%). No knee had osteolysis. The estimated survival rate at 19.5 years was 94% (95% confidence interval [CI], 91% to 100%) for the NexGen CR-Flex prosthesis and 93.7% (95% CI, 91% to 100%) for the LPS-Flex prosthesis, with revision or aseptic loosening as the end point.

Conclusions:
The findings of the present, long-term (minimum follow-up of 17.5 years) clinical study showed that NexGen CR-Flex and NexGen LPS-Flex implants produced excellent clinical and radiographic results. There was no notable clinical advantage of a NexGen CR-Flex implant over a NexGen LPS-Flex implant.

Level of Evidence:
Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
Novel Pla / Chitosan Blends With Bio-released Ag-nps Nano Composites for Eco-friendly Food Packaging.
Authors: Nithya Malarvizhi , Balaji Rajeswari , Sundarajan Tharani , Sivalingam Vennila 
Published: September 2024

Abstract

Polylactic acid / Chitosan blends with bio-released Ag nanoparticles nano composite films were prepared for eco-friendly food packaging materials. These food packaging materials were prepared to enhance the biodegradability of packaging materials as well as to increase the shelf life of food products against microbial action. The preparation was made by dissolving PLA and chitosan using suitable solvents with PEG 400. To this blend silver nanoparticles obtained from Tulsi leaves extract were added and homogenized. PLA/Chitosan blend with Ag-NPs were prepared and characterized their spectral, morphological and antimicrobial properties. The spectral and morphological studies showed the blending of PLA/Chitosan as well as Ag nanoparticles in the nanocomposites. The antibacterial activity of the PLA/Chitosan/AgNPs nanocomposites (PCAg) showed greater inhibitory effect against Staphylococcus aureus and also against Escherichia coli.
Garden cress oil attenuates methotrexate-induced hepatic damage by enhancing inflammation, apoptosis, and histological profile: in vivo and in silico studies
Authors: Mabrouk Dalia M. , El-Akad Radwa H. , Afifi Ahmed H. , Sharaf Hafiza A. , Elsharkawy Sonia L. , makawy Aida I. El 
Published: September 2024

Abstract

Methotrexate (MTX) has been used in high doses for cancer therapy and low doses for autoimmune diseases. It is proven that methotrexate-induced hepatotoxicity occurs even at relatively low doses. It is known that garden cress has anti-inflammatory, antioxidant, and hepatoprotective properties. This study investigates the potential alleviating effect of garden cress oil (GCO) against MTX-induced hepatotoxicity in rats. The chemical composition of GCO was assessed using GC/MS analysis. Liver damage was studied using molecular and histological analysis. Also, the effects of GCO on TNF-α and caspase-3 proteins were evaluated through molecular docking studies. MTX showed clear signs of apoptosis, such as increased mRNA expression levels of BAX, Caspase-3, and P53, and increased liver inflammation indicated by higher levels of TNF-α expression. MTX exhibited significant liver damage, as demonstrated by histological examination. Treatment with GCO effectively alleviated the apoptotic effects of MTX and provided protection against inflammation, as well as restoring histological alterations. Molecular docking revealed that linoleic acid and α-tocopherol are recognized as leading compounds for attenuating the inflammatory and apoptosis cascade reactions in the liver by inhibiting TNF-α and caspase-3 proteins, and in vivo and in silico studies demonstrated that GCO could potentially alleviate MTX hepatotoxicity.
Optimizing Density Functional Theory for Strain-Dependent Magnetic Properties of MnBi(_2)Te(_4) with Diffusion Monte Carlo
Authors: Yoon Mina , Ghosh Swarnava , Kang Seoung-Hun , Ahn Jeonghwan , Jeong Dameul , Eisenbach Markus , Kwon Young-Kyun , Reboredo Fernando , Krogel Jaron 
Published: September 2024

Abstract

In this study, we evaluate the predictive power of density functional theory (DFT) for the magnetic properties of MnBi2Te4 (MBT), an intrinsically magnetic topological insulator with potential applications in spintronics and quantum computing. Our theoretical understanding of MBT has been challenged by discrepancies between experimental results and ab initio calculations, particularly with respect to its electronic and magnetic properties. Our results show that the magnetic phase diagram of MBT varies significantly depending on the Hubbard U parameter in the DFT framework, highlighting the importance of benchmark calculations. To address these challenges, we establish an optimized Hubbard U approach derived from Diffusion Monte Carlo (DMC) calculations, which directly solves the many-body Schr¨odinger equation based on the stochastic process, and implement it in the DFT framework. Once the optimized U value is determined as a function of strain, we apply it to achieve DMC-level accuracy within our DFT framework. This approach is instrumental in accurately describing the magnetic states of MBT and understanding the underlying mechanisms governing its magnetic properties and their dependence on external factors.
∗Electronic address: myoon@ornl.gov
Full-speed sensorless control system of synchronous reluctance motor with flux saturation model
Authors: CAI Hui , LUO Wen jian 
Published: September 2024

Abstract

To solve the problem that the rotor estimation accuracy is greatly affected by parameter nonlinearity and high frequency oscillation, when the synchronous reluctance motor adopts the sensorless control system.This article proposes a new flux saturation model considering cross saturation effect applied to sensorless control of SynRM. The magnetic flux saturation data obtained by the hysteresis voltage injection method is used to estimate the model parameters, and the motor model under accurate magnetic flux saturation is obtained. The proposed magnetic flux saturation model is applied to the position sensorless control system of the synchronous reluctance motor. The proposed magnetic flux saturation model can effectively represent cross saturation and satisfy the reciprocity condition, and solve the nonlinear relationship between SynRM current and flux linkage. Finally, builting an experimental platform to verify the validity and correctness of the theoretical and experimental analysis.
Assessment of Hydrological Loading Displacement from GNSS and GRACE Data Using Deep Learning Algorithms
Authors: Wei Changshou , Zhou Maosheng , Du Zhixing , Han Lijing , Gao Hao 
Published: September 2024

Abstract

This work introduces a novel method for inverting hydrological loading displacement using 3D Convolutional Neural Networks (3D-CNN). This approach utilizes vertical displacement time series data from 41 Global Navigation Satellite System (GNSS) stations across Yunnan Province, China, and its adjacent areas, coupled with spatiotemporal variations in terrestrial water storage derived from the GRACE satellite. The 3D-CNN method demonstrates markedly higher inversion accuracy compared to conventional load Green's function inversion techniques. This improvement is evidenced by substantial reductions in deviations from GNSS observations across various statistical metrics: the maximum deviation decreased by 1.34 millimeters, the absolute minimum deviation by 1.47 millimeters, the absolute mean deviation by 79.6%, and the standard deviation by 31.4%. An in-depth analysis of terrestrial water storage and loading displacement from 2019 to 2022 in Yunnan Province revealed distinct seasonal fluctuations and a rising trend, primarily driven by dominant annual and semi-annual cycles. These cycles accounted for over 90% of the variance, with an annual increase of 1.83 millimeters. The spatial distribution of water load displacement is strongly associated with regional precipitation patterns, showing smaller amplitudes in the northeast and northwest and larger amplitudes in the southwest. This pattern underscores the significant impact of precipitation on changes in terrestrial water storage. This research findings underscore the efficacy of deep learning techniques in inverting Earth geophysical parameters and offer fresh perspectives on regional water cycle dynamics. This has profound implications for water resource management and adapting to climate change.
The genetic architecture of temperature-induced partial fertility restoration in A1 cytoplasm in sorghum (Sorghum bicolor (L.) Moench)
Authors: Jordan David , Klein Robert , Melonek Joanna , Small Ian , Cruickshank Alan , Bradburn Leisa , Malory Sylvia , Hathorn Adrian , Hunt Colleen , Amenu Lealem , Mace Emma 
Published: September 2024

Abstract

Cytoplasmic male sterility (CMS) is used for commercial production of hybrid seed in sorghum. CMS-based hybrid breeding systems require female parental lines (CMS lines) to remain male sterile to prevent self-pollination and enable cross-pollination to generate hybrid seed. However, genetic and environmental factors can lead to the loss of male sterility in the pollen-accepting female parent, resulting in the production of contaminating non-hybrid seeds through self-fertilization with large economic consequences. It is known that high temperatures around flowering time induce sterility breakdown, or partial fertility, however the genetic control of this phenomenon is poorly understood. To investigate the molecular processes controlling sterility breakdown, a large association mapping population of elite CMS parental lines was used to map the genomic regions controlling partial fertility. In this study, we used genome-wide association studies on a panel of 2049 sorghum lines grown in six field trials at Emerald Queensland representing six different environments. The seed planting was set up in such a way that flowering corresponded with the hottest part of the year. In total 43 significant SNPs were identified, indicating that the trait is controlled by multiple genes, however previously identified major genes for fertility restoration were not the main cause of partial fertility. Diversity and linkage disequilibrium decay patterns in separate elite male and CMS pools also indicated the constraints on genetic diversity within the female parents due to partial fertility, rather than the frequency of the previously identified major fertility restoration genes. The understanding of the control of sterility breakdown provides new avenues for trait introgression in elite female pools.
Influential Nodes Identification for Complex Networks Based on Multi-Feature Fusion
Authors: Li Shaobao , Quan Yiran , Luo Xiaoyuan , Wang Juan 
Published: September 2024

Abstract

In the realm of complex network analysis, identifying crucial nodes represents a formidable challenge that has attracted considerable research focus. Historically, research efforts often neglected the significance of incorporating spatial node information, thereby constraining the accurate identification of key nodes. Addressing this gap, this study introduces an advanced centrality model named Degree-K-shell-Betweenness centrality (DKBC), leveraging gravitational principles. The DKBC model integrates node degree, spatial positioning, and betweenness centrality attributes to enhance the precision of crucial node identification for complex networks. This innovative approach surpasses conventional gravity-based methodologies in efficacy. Evaluation of the proposed algorithm employs the Susceptible-Infectious-Recovered (SIR) Epidemic model and assesses correlation using the Kendall coefficient τ. Comparative analysis against a standard benchmark algorithm underscores the superior performance of the DKBC model. Empirical validation conducted across twelve real-world networks substantiates the exceptional accuracy of DKBC model in pinpointing critical nodes. This research significantly advances the field by demonstrating the efficacy of integrating spatial information into centrality metrics for enhanced network analysis and application.
Ginsenoside Rd alleviates lipopolysaccharide-induced myocardial injury via modulating the MAPK and NF-κB pathways in cardiomyocytes and macrophages
Authors: Zhong Cheng-Zhi , Li Ting , Yan Hong , Gong Lv-Dong , Zi Zhi-Da , He Zhi-Ming , Wu De-Song , Yang He-Jin , Guo Yan 
Published: September 2024

Abstract

Cardiac dysfunction is a common complication of sepsis that manifests as uncontrolled inflammatory responses and myocardial injury. Ginsenoside Rd possesses various biological activities, with neuroprotective effects being most commonly reported. This study aimed to investigate the protective effects of ginsenoside Rd on lipopolysaccharide (LPS)-induced myocardial injury and its underlying mechanisms. Here, the cell counting kit-8 (CCK-8) assay was used to detect the cytotoxicity of ginsenoside Rd on mouse macrophages (RAW264.7) and rat cardiomyocytes (H9C2). Furthermore, the expression of the inflammatory cytokines interleukin (IL)-6, IL-1β, and tumor necrosis factor (TNF)-α in LPS-stimulated RAW264.7 cells was detected through enzyme-linked immunosorbent assay (ELISA). LPS was also used to induce damage in H9C2 cells, and CCK-8 assay and Hoechst staining were used to assess cell viability and apoptosis. Cardiac cell injury, oxidative stress, and inflammation were determined by measuring lactate dehydrogenase (LDH), Ca2+, malondialdehyde (MDA), reactive oxygen species (ROS), and nitric oxide (NO) levels. Moreover, western blotting was used to detect the expression of normal and phosphorylated forms of the mitogen-activated protein kinase (MAPK)signaling components extracellular signal-regulated kinase (ERK), c-Jun N-terminal kinase (JNK), and p38 and the nuclear factor kappa-B (NF-κB) signaling components p65 and phospho-p65 as well as the nuclear translocation of p65 in RAW264.7 and H9C2 cells. Interestingly, the results illustrated that ginsenoside Rd significantly reduced the release of TNF-α, IL-6, and IL-1β in a concentration-dependent manner. Ginsenoside Rd improved the survival rate of myocardial cells, which might be attributable to reduced apoptosis. Ginsenoside Rd decreased the levels of LDH, Ca2+, ROS, MDA, and NO in myocardial cells. Mechanistically, ginsenoside Rd inhibited the phosphorylation of ERK, JNK, and p38 and the phosphorylation and nuclear translocation of p65 in RAW264.7 cells. Similarly, ginsenoside Rd inhibited the phosphorylation of JNK, p38, and p65 in H9C2 cells. In conclusion, ginsenoside Rd can reduce the inflammatory response in macrophages, increase their survival rate, reduce apoptosis, and suppress oxidative stress and inflammation in cardiomyocytes by inhibiting the MAPK and NF-κB signaling pathways. Overall, the findings of this study indicate that ginsenoside Rd has the potential to be used for the treatment of septic myocardial injury.
Remote Sensing-Based Estimation of Below-Ground Sediment Carbon in Seagrass Habitats of Bahrain Waters
Authors: Alkhuzaei Manaf , Brolly Matthew 
Published: September 2024

Abstract

This study investigates the role of seagrass habitats in carbon sequestration by quantifying sediment carbon and seagrass coverage in Bahrain's coastal waters. Recognized as significant carbon sinks, seagrass ecosystems are crucial for marine biodiversity and climate change mitigation. The study uses a two-fold approach: assessing sediment carbon content variation across sampling points and estimating seagrass cover with remote sensing techniques using Sentinel-2 and Landsat 8 data. The accuracy of remote sensing-based models for estimating sediment carbon in seagrass is evaluated. Findings show higher sediment carbon concentrations in southern sites and an increase in average sediment carbon content in 2019, despite declines in seagrass coverage and stored sediment carbon. The Landsat 8-based model proved more accurate than the Sentinel-2-based model. This research highlights the importance of preserving seagrass habitats for carbon sequestration, contributing valuable data to global blue carbon reservoirs and informing future conservation strategies and climate change mitigation efforts.