bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Electromechanical and Radio Frequency Analysis of RF Mems Switch Using Staircase Shaped Spring for 5G Telecommunication
Authors: Narzary Trigunesh , Kumar R 
Published: August 2023

Abstract
A new and innovative design capacitive type of RF MEMS switch using a staircase shaped spring made of a high dielectric constant material titanium dioxide (TiO2) is presented in this paper. A spring constant of 2.18 N/m is used to enhance the performance of the electromechanical parameters such as actuation voltage and switching time of the designed switch. The proposed switch resulted in actuation voltages of 2.3 V and 6.7 V for 1 µm and 2 µm air-gaps, respectively. The RF analysis of the proposed switch was conducted in the frequency sweep of 1–40 GHz. The best isolation obtained was − 28.02 dB at 9 GHz during the OFF state of the switch with a fast-switching time of 33 µs. The optimum return loss during the ON state of the switch was found to be -47.84 dB and − 52.26 dB for 1 µm and 2 µm air-gaps, respectively. The insertion loss of the proposed capacitive switch over the applied frequency sweep was also determined to be within − 0.01 to -0.24 dB. The evaluation and optimization of the electromechanical and RF parameters of the switch were accomplished by utilizing COMSOL Multiphysics and ANSYS HFSS, respectively. From the analysis of the proposed switch it is evident that it is suitable for use in 5G telecommunication applications.
High-Speed and Low-Power Recursive Rounding Based Approximate Multipliers for Error-Resilience Applications
Authors: Rao Emandi Jagadeeswara , P Samundiswary 
Published: August 2023

Abstract

Approximate multipliers play a requisite role in error-resilience applications having a trade-off between error and design metrics. Consequently, in this paper, recursive rounding-based approximate multipliers are proposed to enhance both error and design metrics. First, in the n/2-bit, the most significant and least significant bits are chosen for every n-bit input operand. Next, these n/2-bits are rounded to the closest power of two in the proposed multipliers architecture. Succeedingly, the final multiplication product is achieved using rounding, shifters, and adders. On top of that, all the proposed and existing multipliers are developed using Verilog Code with inputs widths ranging from 8-bit to 32-bit, synthesized using Cadence RTL compiler, and simulated using Vivado and MATLAB for Image Smoothing Filter. Further, the error and design metrics of the newly developed and existing multipliers are analyzed. It is observed through the simulation results that reductions in delay and power consumption are achieved through the proposed multipliers on an average of 21.35% and 40%, respectively, compared to that of state-of-the-art multipliers. Furthermore, the proposed multipliers also provide high PSNR and SSIM over the existing multipliers after incorporating the proposed multipliers in the image smoothing filter, which is suitable for Error-Resilience applications.
Task Scheduling Strategy of Logistics Cloud Robot Based on edge computing
Authors: Tang Hengliang , Jiao Rongxin , Xue Fei , Cao Yang , Yang Yongli , Zhang Shiqiang 
Published: August 2023

Abstract

The logistics industry has entered the era of highly information-based intelligent logistics. In order to save resource consumption and improve the cooperation efficiency between robots, a centralized computing mode has emerged in the application of warehousing robots, namely, logistics cloud robots. In order to improve the work efficiency of the logistics cloud robot, this paper designs a task resource scheduling model of the cloud logistics robot in the edge computing environment. The logistics cloud robot can improve the response efficiency by unloading some delay sensitive tasks to the edge server, and assign the delay insensitive tasks to the cloud computing center. Therefore, it is particularly important to reasonably allocate tasks to appropriate computing cells. The model combines graph convolution network and heuristic algorithm, and designs a joint scheduling strategy to unload requests to edge services and cloud servers reasonably, so as to maximize the use of computing resources. Based on the joint scheduling strategy, the optimal long-term scheduling decision is generated to reduce scheduling time and improve service quality. To evaluate the effectiveness of the model, we use heterogeneous earliest completion time (HEFT) and other algorithms as benchmarks to compare the performance of the model. In order to verify the authenticity of the scheduling scheme, we conducted simulation experiments on the EdgeCloudSim platform to verify the quality of service of task scheduling in different scenarios. The experimental results show that the proposed method is superior to most of the comparison methods and can better optimize the task scheduling efficiency of the logistics cloud robot.
Association between Allergic Bronchopulmonary Aspergillosis and Tuberculosis: A Systematic Review of 397 cases in literature
Authors: Ajayababu Anuj , Hoenigl Martin , Ray Animesh 
Published: August 2023

Abstract
Introduction: Although allergic bronchopulmonary aspergillosis (ABPA) is classically described in asthma and cystic fibrosis, tuberculosis (TB) with post-tubercular cavitary lung disease has recently been considered a probable predisposing factor for development of ABPA. While association of chronic pulmonary aspergillosis in patients with structural lung disease post TB has been well elucidated, the association with ABPA has not been reviewed systematically and the literature is quite scarce. Methods: We systematically screened the available literature from PubMed, Embase, SCOPUS and Web of Science databases for studies reporting association between ABPA and TB from 2010 to present using appropriate search terms, including the development of ABPA and Aspergillus sensitization in patients with previous or concomitant TB or post-tubercular structural lung disease (PTLD). Results: A total of 624 studies were identified from the initial search from the databases. After removal of duplicates (n = 213 results), 411 articles were chosen for review of abstracts. Out of these, 358 were removed after initial screening and eight were removed during final screening due to absence of adequate data on association of ABPA and TB. A total of 45 articles were included in the final systematic review of which, 21 were original articles and 24 were case reports. Four patterns of associations were described in a total of 397 patients: ABPA misdiagnosed as TB (51%), ABPA in patients with previous TB (22%), co-existent ABPA and TB (4%) and Aspergillus sensitization in patients with prior or active TB (23%). There was significant heterogeneity in terms of the criteria used for diagnosis of ABPA as well as in the diagnosis of pulmonary TB. The radiological patterns, treatment and outcomes were mostly reported for the overall population screened and not individually for patients who showed some form of ABPA-TB association. Central bronchiectasis (28%), mucoid-impaction/high-attenuation mucus/’glove and finger’ shadows (28%) and cavitary lesions (37%) were the most common radiographic abnormalities out of those whose individual radiological data could be extracted. Around 67% of the patients for whom treatment given were reported received steroids and/or antifungals. Adequate treatment response was reported for all the patients for whom it was reported. Conclusion: ABPA may be associated with TB in numerous ways. Misdiagnosis of ABPA as TB is the most common pattern followed by the patterns of Aspergillus sensitization /ABPA developing in patients with history of TB. The least common pattern was the that of concomitant TB and ABPA. On account of lack of uniformity in diagnosing ABPA and TB – future well designed studies are required to confirm these associations.
Expression and Prognosis for PA system in Human Ovarian Cancer
Authors: Hu zelin , Huang Jiazhen¹ , Li Yibing , Wang Shengnan , Meng Xuanzhu , Yuan Yinxue , Xiao Aichen , wang ning 
Published: August 2023

Abstract
The plasminogen activator (PA) system is a protease hydrolysis system involved in many physiological processes. The PA system consists of four components, namely a urokinase-type plasminogen activator PLAU, its receptor PLAUR, and plasminogen activator inhibitor-1 and − 2 (PAI-1 and PAI-2). It has been found that the combination of PLAU and PLAUR effectively triggers a series of proteolytic cascades to degrade extracellular matrix components. In recent years, studies have found that the PA system has different functional roles in the development of various tumors. The PA system is differentially expressed in various tumors, including ovarian cancer (OV). However, the specific role and prognosis of the PA system in ovarian cancer remain unclear. In this study, we combined multiple databases to evaluate how the PA system affects the occurrence and progression of OV and predict its prognostic value. In addition, we also investigated the function of the PA system and the relationship between the differential expression of PA members and the level of OV immune infiltration. Correlation analysis was also performed on the current "FDA approved" and "clinical trial" drugs and molecular compounds. The results showed that the differential expression of each component of the PA system was significantly associated with the poor prognosis of OV and was enriched in multiple oncogenic signaling pathways that promote the occurrence, development, and metastasis of the disease. In conclusion, the PA system could be as a detection biomarker and potential therapeutic targets for patients with OV.
Experiences of Pregnant Venezuelan Migrants/Refugees in Brazil, Ecuador and Peru: A Qualitative Analysis
Authors: Zaman Michele , McCann Victoria , Noriega Monica , Marisol Maria , Bartels Susan A , Purkey Eva 
Published: August 2023

Abstract
Background: Venezuela has been experiencing an intense and rapid outflow of migrants/refugees unprecedented in Latin America. It is estimated that since 2014, approximately 7.3 million Venezuelans have left the country. Although both male and female migrants/refugees are vulnerable, female migrants/refugees are more likely to face discrimination, emotional, physical and sexual violence. This paper explores the experiences of pregnant Venezuelan migrants/refugees.
Methods: In the parent study, Spryng.io’s sensemaking tool was used to gain insight into the gendered migration experiences of Venezuelan women/girls. A total of 9339 micronarratives were collected from 9116 unique participants in Peru, Ecuador and Brazil from January to April 2022. For the purpose of this analysis, two independent reviewers screened 817 micronarratives which were identified by the participant as being about someone who was pregnant, ultimately including 231 as part of the thematic analysis. This was an exploratory study and an open thematic analysis of the narratives was performed.
Results: The mean age and standard deviation of our population was 25.77 ± 6.73. The majority of women in the sample already had at least 1 child (62%), were married at the time of migration (53%) and identified as low socio-economic status (59%). The qualitative analysis revealed the following main themes among pregnant Venezuelan migrants/refugees: xenophobia in the forms of racial slurs and hostile treatment from health-care workers while accessing pregnancy care; sexual, physical, and verbal violence experienced during migration; lack of shelter, resources and financial support; and travelling with the hopes of a better future.
Conclusion: Pregnant Venezuelan migrants/refugees are a vulnerable population that encounter complex gender-based and societal issues that are rarely sufficiently reported. The findings of this study can inform governments, non-governmental organizations and international organizations to improve support systems for pregnant migrants/refugees. Based on the results of our study we recommend addressing xenophobia in health-care centres and the lack of shelter and food in host countries at various levels, creating support spaces for pregnant women who experience trauma or violence, and connecting women with reliable employment opportunities and maternal healthcare.
Interaction between HTR2A rs3125 and negative life events in suicide attempts among patients with major depressive disorder: a cross-sectional study
Authors: Pang Jian-Yue , Wang Yi-Ping , Teng Hui-Min , He Jin , Luo Rui , Feng Si-Meng , Yue Wei-Hua , Li Heng-Fen 
Published: August 2023

Abstract
Background: Both genetic and environmental factors play important roles in the development of major depressive disorder (MDD) and suicide attempts (SA). However, the interaction between both items has yet to be identified. This study, aims to explore the interactions between the genetic variants of serotonin 2A receptor (HTR2A) and the nitric oxide synthase 1 (NOS1) and environmental factors in patients who experience MDD and SA.
Methods: A total of 334 patients with MDD and a history of SA (MDD-SA) were recruited alongside 518 patients with MDD with no history of SA (MDD-NSA), and 716 healthy controls (HC). The demographic information and clinical characteristics were collected. Sequenom mass spectrometry was used to detect eight tag-single nucleotide polymorphisms (tagSNPs) in HTR2A (rs1328683, rs17068986, and rs3125) and NOS1 (rs1123425, rs2682826, rs3741476, rs527590, and rs7959232). Generalized multifactor dimensionality reduction (GMDR) was used to analyze gene -environment interactions.
Results: Among the three groups, significant differences were found in four tagSNPs (rs17068986, rs3125, rs527590 and rs7959232), but these differences not found to be significant between MDD-SA and MDD-NSA after Bonferroni correction. Logistic regression analysis showed that negative life events (OR = 1.495, 95%CI: 1.071-2.087, P = 0.018), self-guilt (OR =2.263, 95%CI: 1.515-3.379, P< 0.001), and negative cognition (OR = 2.252, 95%CI: 1.264-4.013, P = 0.006) were all independently associated with SA in patients with MDD. GMDR analysis indicated that the interaction between HTR2A rs3125 and negative life events was significant. Negative life events in association with the HTR2A rs3125 CG + GG genotype were associated with a higher SA risk in patients with MDD, compared with the condition of no-negative life events in association with the CC genotype (OR = 2.547, 95% CI: 1.264-5.131, P = 0.009).
Conclusion: Several risk factors and a potential interaction between HTR2A rs3125 and negative life events were identified in patients with SA and MDD. The interaction may modulate the risk of MDD and SA, and this finding provides evidence of the pathogenesis of SA in patients with MDD.
Notopterol Protects against Heart Failure Post-myocardial Infarction via GSK3β-dependent Pathway Notopterol Protects against Heart Failure
Authors: Yang Cheng-Mei , Shan Qing , Wen Jia-Li , Guo Jin-Min , Yao Tian-Ming 
Published: August 2023

Abstract
Introduction: Heart failure (HF), which frequently results from myocardial infarction (MI), leads to death and morbidity to a great extent globally, commonly developed from. Notopterol (NOT) is an active monomer extract obtained from Notopterygium incisum Ting ex H.T. Chang (N. incisum), a traditional Chinese medicine, that is extensively used in the clinical practice of cardiovascular disease and provides definite curative effects. NOT has been proven to be the most abundant constituent enriched in patients' serum and N. incisum ethanol extract. However, the role of NOT and its molecular target in HF remain unknown.
Methods: In vivo, left anterior descending (LAD) ligation was conducted for MI induction and then for four weeks to induce HF. Mice were treated with NOT intragastrically for four weeks. Early (0.5 h post-MI) and delayed (12 h post-MI) pre-administration post-MI, as well as a therapeutictreatment after HF, were carried out. Echocardiography was used to assess heart function. H&E staining, wheat germ agglutinin (WGA), as well as Masson trichromatic heart stainings, were applied to evaluate cardiac remodeling, myocardial hypertrophy, and fibrosis, as well as the expression of molecules. In vitro, mouse HL1 cells were treated with NOT after Ang II-stimulation. We measured cardiomyocyte hypertrophythrough α-actinin immunofluorescence staining and hypertrophy gene expression. Meanwhile, phosphorylation of GSK3β is measured after NOT treatment. Then, GSK3β inhibitor 1-AKP was utilized for investigating NOT underlying pathway.
Results:In vivo, early (0.5 h p-MI) and delayed (12 h p-MI) pretreatment of NOT alleviated cardiac dysfunction after MI and postponed the onset of HF. Intragastrical administration of NOT after HF prevented adverse cardiac remodeling and attenuated hypertrophy and fibrosis against cardiac injury, as well as inflammation. In vitro, NOT presented an anti-hypertrophy property in cultured HL1 cells subjected to AngⅡ-stimulation. NOT served as an inhibitor of GSK3β; it upregulated the inhibitory phosphorylation of GSK3β, and its beneficial action against heart hypertrophy is partially abolished by inhibiting GSK3β.
Conclusion: Our studies show that NOT treatment prevented adverse cardiac remodeling, and attenuated hypertrophy and fibrosis, thereby effectively protecting against the development and progressionof HF. GSK3β pathways are involved in the anti-hypertrophy action of NOT.
Endo-Perio Lesions and Dentists’ Treatment Approach: A Survey
Authors: Durmazpinar Parla Meva , Kanmaz Burcu , Buduneli Nurcan 
Published: August 2023

Abstract
Background: Endo-perio lesions have been a great challenge for dentists. The aim of this study was to evaluate the treatment approach of dental practitioners to endo-perio lesions by considering the current endo-perio classification.
Methods: An online survey consisting of questions about the treatment approach to three simulated cases with endo-perio lesions by a periapical radiography and questions derived from these cases were prepared. Questions about the patient's age, presence of systemic disease, smoking, and how the single or multi-rooted tooth would affect the treatment plan were also included in the survey. The survey was sent to 1500 dentists via e-mail, WhatsApp and social media. Chi-square test was used for comparison of data. Significance was evaluated at p<0.05.
Results: In total, 338 dentists participated the survey and 53% of the participants stated that they perform root canal treatment and initial periodontal treatment simultaneously, when both treatments are required. In Grade 3 case, general dentists, endodontists, and periodontists mostly stated that they would prescribe systemic antibiotics if there was a diffuse extraoral swelling (p<0.05). Moreover, in Grade 3 case, more general dentists chose the option “extraction” as the best choice than endodontists and periodontists (p<0.05).
Conclusions: According to the results of this study, general dentists, endodontists, periodontists generally follow different approaches to endo-perio lesions.
Carbon Dioxide Emissions Prediction in China: A Genetic Algorithm-backpropagation Neural Network Approach
Authors: Du Yan , Liu Hui , Xie Mowen , Chicas Santos Daniel 
Published: August 2023

Abstract
With the global climate problem worsening, accurately predicting carbon dioxide emissions has become critical. In this study, we compared and selected various neural network models and a support vector regression (SVR) model to predict China's carbon dioxide emissions from 2022 to 2030. Among the models tested, we found that the Genetic Algorithm-backpropagation (GA-BP) neural network model had the highest prediction accuracy and therefore used it to predict China's future carbon dioxide emissions.We also used the GA-BP neural network model to analyze the factors influencing carbon dioxide emissions and compared the results under three scenarios: baseline, low, and high. Our findings show that under the low carbon emission scenario, China is projected to reach its carbon peak in 2028, with a carbon dioxide emission of 12.184 billion tons. The baseline scenario is projected to reach its carbon peak in 2029, with a carbon dioxide emission of 12.291 billion tons. However, under the high carbon emission scenario, China is not projected to achieve a carbon peak by 2030. Overall, our study provides insights into China's future carbon dioxide emissions, which can inform policy decisions to reduce carbon emissions and mitigate the effects of climate change.
Self-propagating wave drives noncanonical antidurotaxis of skull bones in vivo
Authors: Tabler Jacqueline , Dang Yiteng , Lattner Johanna , Lahola-Chomiak Adrian , Afonso Diana , Taubenberger Anna , Ulbricht Elke , Rulands Steffen 
Published: August 2023

Abstract
Cell motility is a key feature of tissue morphogenesis, and it is thought to be driven primarily by the active migration of individual cells or collectives. However, this model is unlikely to apply to cells lacking overt cytoskeletal, stable cell-cell or cell-cell adhesions, and molecular polarity, such as mesenchymal cells. Here, by combining a novel imaging pipeline with biophysical modeling, we discover that during skull morphogenesis, a self-generated collagen gradient expands a population of osteoblasts towards a softer matrix. Biomechanical measurements revealed a gradient of stiffness and collagen along which cells move and divide. The moving cells generate an osteogenic front that travels faster than individual tracked cells, indicating that expansion is also driven by cell differentiation. Through biophysical modeling and perturbation experiments, we found that mechanical feedback between stiffness and cell fate drives bone expansion and controls bone size. Our work provides a mechanism for coordinated motion that does not rely upon the cytoskeletal dynamics of cell migration. We term this self-propagating motion down a stiffness gradient, noncanonical antidurotaxis. Identification of alternative mechanisms of cellular motion will help in understanding how directed cellular motility arises in complex environments with inhomogeneous material properties.
Community Resilience and Migration: Using Best Evidence Synthesis to Promote Migrant Welfare
Authors: D’Souza Jayesh 
Published: August 2023

Abstract
Community resilience is an important success factor in migration. Many migrants experience behavioral and psychological change due to hardships post-migration. Migrant communities that learn to withstand these hardships are said to be resilient. This paper discusses the different factors that influence migration and the level of community resilience. These factors are: empowerment, social networks, change in the ecological and natural environment and economic factors. By using the best evidence synthesis methodology, this study was able to select the most commonly discussed stressors, practices and desired outcomes. In the thirty-one studies reviewed, the variables that had the highest impact on migrant communities were ranked to help community organizations determine which practices to prioritize in building resilience among migrants. Community actions that back migrant integration, health and well-being, education and support services ranked the highest in this best evidence study. These rankings are important in identifying and prioritizing community developmental opportunities that enhance migrant resilience during the settlement process.