bluuebunny/crossref_metadata_2025 huggingface dataset:
Systematic Characterization of Expression Patterns and Immunocorrelations of Formin‐Like Genes in Breast Cancer
Authors: Gao Erli , Wang Xuehai , Wang Fengxu , Deng Siyuan , Xia Weiyi , Wang Rui , Wang Xiangdong , Zhao Xinyuan , Qian Haixin
Published: September 2022

Background. Members of the formin‐like gene (FMNL) family are required for cytoskeleton‐related processes, and their expressions are implicated to the progression of a multitude of malignancies. However, there are insufficient studies on transcription factors and promising prognosis benefit of FMNLs during the genesis of breast cancer (BrCa). Methods. The transcriptional levels of FMNL family members in primary BrCa tissues and their association with intrinsic subclasses were analyzed using the UALCAN database. Then, the prognostic values of FMNLs in BrCa patients were investigated via the Kaplan‐Meier plotter. Moreover, the correlations between FMNL expression levels and immune infiltrations were analyzed using the TIMER database. In addition, the expression patterns of FMNLs in BrCa were investigated by single‐cell RNA‐sequencing (scRNA‐seq) analysis and were validated by immunohistochemistry (IHC) staining. Results. The transcriptional level of FMNL1 was shown to be considerably increased in BrCa. It is surprising that the transcriptional quantities of FMNL2 and FMNL3 were substantially reduced. In addition, during the comparison of several BrCa subclasses, FMNL1 and FMNL2 mRNA levels of patients with HER2‐positive and triple‐negative BrCa subclasses increased, while FMNL3 mRNA levels reduced. With the processions of experimentation, high FMNL1 expression was hopefully linked to well clinical outcome, while high FMNL2 expression predicted poor prognosis. Moreover, FMNL1 was highly expressed in tumor‐infiltrating immune cells (TIICs) in tumor tissues. Last but not least, FMNL1 was highly expressed in TIICs and served as a gene marker for TIICs. Conclusions. The fact and result which we analyzed demonstrate FMNL1 as a diagnostic marker for TIICs by comprehensively elucidating the expression patterns and changeable prognostic implications of FMNLs in BrCa clinical applications.
Optimal Niacin Requirement of Oriental River Prawn Macrobrachium nipponense as Determined by Growth, Energy Sensing, and Glycolipid Metabolism
Authors: Wang Jing-Wen , Che Yi-Cheng , Sun Miao , Guo Yi-Qing , Liu Bo , Li Xiang-Fei
Published: September 2022

Niacin is indispensable for the growth and development of aquatic animals. However, the correlations between dietary niacin supplementations and the intermediary metabolism of crustaceans are still poorly elucidated. This study explored the effects of different dietary niacin levels on the growth, feed utilization, energy sensing, and glycolipid metabolism of oriental river prawn Macrobrachium nipponense. Prawns were fed with different experimental diets containing graded niacin levels (15.75, 37.62, 56.62, 97.78, 176.32, and 339.28 mg/kg, respectively) for 8 weeks. Weight gain, protein efficiency, feed intake, and hepatopancreas niacin contents all maximized in the 176.32 mg/kg group with significance noted with the control group (

P

 

<
0.05

), whereas the opposite was true for feed conversion ratio. Hepatopancreas niacin concentrations increased significantly (

P
<
0.05

) as dietary niacin levels increased, and peaked at the 339.28 mg/kg group. Hemolymph glucose, total cholesterol, and triglyceride concentrations all maximized in the 37.62 mg/kg group, while total protein concentration reached the highest value in the 176.32 mg/kg group. The hepatopancreas mRNA expression of AMP-activated protein kinase α and sirtuin 1 peaked at the 97.78 and 56.62 mg/kg group, respectively, and then both decreased as dietary niacin levels increased furtherly (

P
<
0.05

). Hepatopancreas transcriptions of the genes related to glucose transportation, glycolysis, glycogenesis, and lipogenesis all increased with increasing niacin levels up to 176.32 mg/kg, but decreased significantly (

P
<
0.05

) as dietary niacin levels increased furtherly. However, the transcriptions of the genes related to gluconeogenesis and fatty acid β-oxidation all decreased significantly (

P
<
0.05

) as dietary niacin levels increased. Collectively, the optimum dietary niacin demand of oriental river prawn is 168.01-169.08 mg/kg. In addition, appropriate doses of niacin promoted the energy-sensing capability and glycolipid metabolism of this species.
Renal Involvement of CD20-Negative Intravascular Large B Cell Lymphoma with Neurological Manifestations
Authors: Aqeel Faten , Bagnasco Serena M. , Geetha Duvuru
Published: September 2022

The involvement of hematological tumors such as lymphoma in the kidneys is a well-recognized phenomenon. Some of the distinct reported pathological processes resulting in kidney dysfunction include minimal change disease, lymphocytic invasion of the parenchyma, immune complex disposition, immunotactoid glomerulopathy, membranous glomerulopathy, and acute tubular injury. We report a rare case of CD20-negative intravascular lymphoma found on a kidney biopsy in a male with primary angiitis of the central nervous system (CNS) who presented with acute kidney injury and proteinuria. After the initiation of rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine sulfate, and prednisone (R-CHOP), kidney function improved and proteinuria resolved.
[Retracted] Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example
Authors: Cui Hongjing , Zhang Huican , Pan Deng , Zhao Bing
Published: September 2022

This study aims to make public sports health emergency corpus as a way to deal with public health emergency such as COVID‐19, reducing the losses affected by an illness or health condition that has occurred frequently in recent years. On this basis, this paper analyzes the research status of emergency language services at home and abroad, discusses the significance and principles of Multimodal Aligned Corpus Public Health Emergency (shorted for MACPHE) construction, and develops technical processing paths and building procedures for MACPHE. Finally, it was emphasized that the construction of MACPHE and emergency language resources are important parts of the national language service capacity. Furthermore, on the basis of big data, a modal architecture of MACPHE was given and analyzed in the field of public health service.
Digital Twin Inspired Intelligent Bearing Fault Diagnosis Method Based on Adaptive Correlation Filtering and Improved SAE Classification Model
Authors: Zhang Wenhua , Liu Zhifeng , Liao Zhiqiang
Published: September 2022

Digital twin technology assists physical entities better to achieve functional perfection through the interactive cointegration of physical entities and virtual spaces. In this view, this paper proposes a digital twin inspired intelligent diagnosis method for bearing faults based on adaptive correlation filtering and an improved stack autoencoder (SAE) classification model. First, the adaptive correlation filtering algorithm is designed to filter the engineering signal in physical space, in which the noise-free ideal bearing fault signal spectrum in the virtual space is used as the comparison. In this filtering, the optimal cut-off frequency is determined adaptively with the condition that the similarity between the simulated spectrum and the engineering spectrum is maximized. Second, the Tan activation function is used in the SAE classification model to enhance the signal differentiation and avoid the problem of large computation of the traditional sigmoid function. Finally, the accuracy of the method in this study is verified on the basis of engineering experiments and Case Western Reserve University bearing fault dataset. Experimental results show that the method can achieve 100% correct diagnosis rate of bearing faults.
The Development Relationship between Cross-Border e-Commerce and Internet of Things Technology Coupling in Digital Economy Based on Neural Network Model
Authors: Liu Qi
Published: September 2022

Compared with the traditional trading model, the problem of information asymmetry in export cross-border e-commerce (CBEC) transactions actually exists. Since the buyers and sellers of export CBEC are located in different countries, it is difficult for both parties to make accurate judgments on each other’s credit. Besides, the number of export CBEC financing is relatively small, and the financing situation is not optimistic. Fortunately, the Internet of Things (IOT) technology has a wide range of applications and strong social penetration, especially in e-commerce, which can effectively improve payment, logistics, and distribution. By employing the concept of the IOT, this paper expounds the application of the IOT in the e-commerce transaction process and the impact of the IOT on the development of e-commerce. Besides, this paper also proposes some security issues in the application of the IOT in e-commerce. In addition, this paper analyzes the relationship and development trend of CBEC and IOT technology; meanwhile, it also points out the practical problems currently faced by combining the regional advantage of a certain region. The e-commerce industry develops IOT technology and drives innovation-driven development in the region. In addition, this paper builds an evaluation index system for the development of export CBEC enterprises based on the analysis of the problems and reasons by using the sample data to train the BP neural network and using the test samples to test the model. It is found that the model accuracy rate is 89.47%. Then, this paper also takes the export CBEC company A as an example to conduct empirical research and to prove the operability of the credit evaluation model. Finally, it provides relevant suggestions for improving the credit evaluation system of export CBEC enterprises.
Comparison between Physical Parameters and Sensory Parameters Regarding Travel Behavior Based on Sensitivity Analysis
Authors: Al-Salih Wissam Qassim , Esztergár-Kiss Domokos
Published: September 2022

An effective way to optimize decision-making regarding the transport mode choice in the transportation system is improving or changing the travel cost, the travel time, or some other travel characteristics by using sensitivity analysis. This method encourages travelers to switch from private transportation to public transport, thus reducing pollution and emission. Furthermore, by searching for the most sensitive factors in travel behavior, the sensitivity analysis might highlight the directions of the improvement. However, according to previous studies, travelers will transfer from one transport mode to another only if the utility of the new choice is higher than the original transport mode. In the current paper, sensitivity analysis is applied to provide a comparison between the impacts of the physical and sensory parameters on the travel behavior and transport mode choice based on a utility function. The multinomial logit (MNL) model is used to estimate and perform the sensitivity analysis of the main variables. The sensitivity analysis demonstrates the degree of the travelers’ sensitivity to changes in the travel characteristics including both physical and sensory parameters. The models are calibrated with the NLOGIT software and validated through statistical indicators; thus, the essential factors influencing the choices are obtained. The input variables selected for the models are based on the data collected in Budapest, Hungary. The sensitivity analysis is determined by the outputs of the variables based on the changes of the input variables. As the results show, the travelers have more sensitivity to the changes in the physical parameters. Furthermore, the outcomes indicate that the travel cost is an essential variable, which greatly affects the decisions related to the transport mode choice. From the sensory parameters, the comfort factor has more influence than other factors. The results of the analysis present that the travelers’ sensitivity to changes in the travel utilities of the travel characteristics impacts the decisions regarding the mode choice behavior significantly.
Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging
Authors: Attar Hani , Abu-Jassar Amer Tahseen , Amer Ayman , Lyashenko Vyacheslav , Yevsieiev Vladyslav , Khosravi Mohammad R.
Published: September 2022

This article is aimed at studying the features of the control systems development for a small-sized Computer Numerical Control (CNC) portative laser engraver. The CNC is implemented in mobile maintenance and repair platforms for remote sensing of the environment where the wild environment may not allow us to access the animals and places. The proposed work in this paper is based on recent research, which shows that applying the automated CNC speeds up the processes of repair, modernizes the equipment size, and significantly reduces the economic costs; accordingly, the authors developed a block diagram of a portable CNC laser engraver. The choice of the hardware was also made, taking into account the possibility of quick replacement in the field, which reduces the repair time and the cost of the developed layout. A control system based on the selected modules was synthesized, and a stability check was carried out using MatLab tools. To check the correctness of the developed control system, the authors developed and assembled an experimental layout to illustrate the results of engraving on such a layout. Finally, the stability and sensitivity of the proposed system have been obtained and proved that the system works in a comfortable zone of stability. The obtained results show that the proposed CNC laser engraver has achieved the expected improvements (high speed, small size, short production and repairing time, minimum human influence factor, and achieving a better outcome).
Game Algorithm of Intelligent Driving Vehicle Based on Left-Turn Scene of Crossroad Traffic Flow
Authors: Guo Zonghuan , Sun Dihua , Zhou Lin
Published: September 2022

Vehicle networking and autonomous driving are hot areas of scientific research today, and they complement each other and play an important role in people’s intelligent travel. Intelligent driving vehicle can enhance road safety, effectively reduce traffic flow and fuel consumption, and promote the overall social development. It has great application value in urban traffic system. The traffic condition of a city directly affects the economic development of the city and the improvement of people’s quality of life. As the “core” of the urban traffic network, intersections are the frequent places where traffic jams occur. Game theory, as a win-win theory, mainly solves the problem of multiperson and multi-objective with contradictory objective functions and can be used to study the optimal signal control strategy. Aiming at this problem, the potential conflict behaviors of intelligent driving vehicles when turning left at urban intersections are analyzed and a decision model is established. A long-term trajectory prediction model of straight vehicles is established based on the Gaussian process regression model (GPR) considering the vehicle motion pattern. Combined with trajectory prediction, a decision-making process (model) for intelligent driving vehicles based on conflict resolution and a multifactor driving action selection method are proposed. A coordination algorithm based on game theory is designed for conflicting vehicles. The proposed algorithm is verified by the self-developed intelligent vehicle hardware simulation platform. The simulation results show that the PID method based on digital identification and positioning makes the intelligent vehicle obtain good system step response, can improve the disturbance tracking ability of intersection turning analysis, meet the requirements of turning control system, and reduce the complexity and randomness of parameter design, which is better than the traditional fuzzy control method.
Real-World Evidence Evaluation on the Lipid Profile, Therapeutic Goals, and Safety of the Fixed-Dose Combination of Rosuvastatin/Ezetimibe (Trezete®) in Dyslipidemia Patients
Authors: Rodríguez-Saldaña Joel , Padilla-Padilla Francisco , Cardona-Muñoz Ernesto G. , Romero-Antonio Yulia , Arguedas-Núñez María Marcela , Sander-Padilla José G. , Martínez-Muñoz Alberto , Lugo-Sánchez Laura A. , Rodríguez-Vazquez Ileana C. , González-Canudas Jorge
Published: September 2022

Introduction. Cardiovascular diseases are the leading cause of death worldwide. The combination of statins and cholesterol-absorption inhibitors promotes the decrease in risk factors, such as high concentrations of LDL (low-density lipoproteins). The aim of the study was to evaluate changes in the lipid profile and the effect on therapeutic goals, as well as the safety of dyslipidemia patients treated with Rosuvastatin/Ezetimibe (Trezete®). Materials and Methods. A real-world evidence study was conducted with retrospective data collection through a review of clinical records from dyslipidemia patients treated with Trezete® in routine medical practice. Clinical records included results of biochemical markers before treatment and at least one follow up between weeks 8 and 16. Results. The study included 103 patients’ clinical records (55.4% men) with a mean age of 56.0 ± 13.0 years. More than 57% of the patients had mixed dyslipidemia and a median disease progression of 3.1 (IQR, 1.5; 9.1) years. Regarding LDL concentrations, 72.8% of the patients achieved therapeutic goals according to cardiovascular risk (CVR), which was statistically significant. Similarly, 94.1% achieved goals for total cholesterol (<200 mg/dL) and 56.0% for triglycerides (<150 mg/dL), a

p

value <0.001. No cardiovascular events were observed. Conclusion. Trezete® shows an important clinical impact on CVR-related target markers during the treatment of dyslipidemia patients. It is relevant to mention that a significant percentage of patients achieved therapeutic goals during the first months of treatment. Fixed-dose combination therapy has shown to be as safe as monotherapy treatment. ClinicalTrials.gov Identifier: NCT04862962.
Identification of Key Genes and Pathways Associated with Oxidative Stress in Periodontitis
Authors: Zhang Zheng , Zheng Youli , Bian Xiaowei , Wang Minghui , Chou Jiashu , Liu Haifeng , Wang Zuomin
Published: September 2022

Background and Objective. Oxidative stress has been associated with the progression of periodontitis. However, oxidative stress-related genes (OS-genes) have not been used as disease-specific biomarkers that correlate with periodontitis progression. This study is aimed at screening the key OS-genes and pathways in periodontitis by bioinformatics methods. Methods. The differentially expressed genes (DEGs) were identified using periodontitis-related microarray from the GEO database, and OS-genes were extracted from GeneCards database. The intersection of the OS-genes and the DEGs was considered as oxidative stress-related DEGs (OS-DEGs) in periodontitis. The Pearson correlation and protein-protein interaction analyses were used to screen key OS-genes. Gene set enrichment, functional enrichment, and pathway enrichment analyses were performed in OS-genes. Based on key OS-genes, a risk score model was constructed through logistic regression, receiver operating characteristic curve, and stratified analyses. Results. In total, 74 OS-DEGs were found in periodontitis, including 65 upregulated genes and 9 downregulated genes. Six of them were identified as key OS-genes (CXCR4, SELL, FCGR3B, FCGR2B, PECAM1, and ITGAL) in periodontitis. All the key OS-genes were significantly upregulated and associated with the increased risk of periodontitis. Functional enrichment analysis showed that these genes were mainly associated with leukocyte cell-cell adhesion, phagocytosis, and cellular extravasation. Pathway analysis revealed that these genes were involved in several signaling pathways, such as leukocyte transendothelial migration and osteoclast differentiation. Conclusion. In this study, we screened six key OS-genes that were screened as risk factors of periodontitis. We also identified multiple signaling pathways that might play crucial roles in regulating oxidative stress damage in periodontitis. In the future, more experiments need to be carried out to validate our current findings.
Cross-Domain Federated Data Modeling on Non-IID Data
Authors: Chai Baobao , Liu Kun , Yang Ruiping
Published: September 2022

Federated learning has received sustained attention in recent years for its distributed training model that fully satisfies the need for privacy concerns. However, under the nonindependent identical distribution, the data heterogeneity of different parties with different data patterns significantly degrades the prediction performance of the federated model. Additionally, the federated model adopts simple averaging in the model aggregation phase, which ignores the contributions of different parties and further limits the model performance. To conquer the above challenges, we propose a new cross-domain federated data modeling (CDFDM) scheme by combining the attention mechanism. Firstly, to mitigate the poor model performance caused by data heterogeneity, we propose a shared model that adjusts the number of shared data assigned to users according to their data size, which effectively alleviates data heterogeneity while avoiding shared data from overwriting the user’s individual data features. Then, we introduce the attention mechanism in the model aggregation phase, which assigns weights to users according to their contributions, thus improving the model performance. Finally, we conducted a series of experiments on two real-world datasets (MNIST and CIFAR-10). The results show that our CDFDM outperforms existing schemes in both nonindependent identical distribution conditions. Furthermore, in terms of model prediction accuracy variation during the training phase, our approach is more stable.
Visual Teaching System Design of University Political Video Course Based on Network Node Algorithm
Authors: Zheng Dan , Huang Rong , Chen Qi
Published: September 2022

With the continuous development of wireless sensor networks in the fields of industrial measurement and control, medical monitoring, and intelligent buildings, the demand for network performance is also increasing. Conventional MAC protocols used in wireless sensor networks can no longer meet the low power consumption, interference suppression, high reliability, and high throughput communication requirements of these applications. With the changes in related visual media in education, from wood boards and cards in the age of visual media to slides and projections in the age of audio-visual media, as well as the extensive development of various visual tools, visual teaching systems are all in terms of technology, environment, mode, and meaning. Visual education research in the development of video courses first needs to understand the educational function of the smart classroom, including the related concepts, research progress, and key functions of the smart classroom. At the same time, it is also necessary to clarify the theoretical principles and expression methods of video course development and their effectiveness in professional training. Finally, we can combine the advantages of the two educational institutions to design applied research and apply it to visual education in smart classrooms. This is exactly where the educational philosophy of the university political curriculum of visualized higher education policy plays an important role in running the university political curriculum of higher education policy. In the context of multiculturalism, how to deal with the new problems and new situations of the current ideals and concepts of college students, how to grasp the main problems, and how to solve the problems are a topic worthy of continuous discussion and summary.
Security Strategy Optimization and Algorithm Based on 3D Economic Sustainable Supply Chain
Authors: Wang Lai-Wang , Hung Chen-Chih , Hsieh Ching-Tang
Published: September 2022

Based on the background of system intelligence in the Internet of things era, this paper applied the design field of interaction design and user experience in the early days, and conducted further in-depth investigation through a large number of case studies and the use of quantitative and qualitative investigation methods. Based on this, the theories and strategies of the interaction design between enterprise members and intelligent machines were put forward and tested by actual design. At present, air pollution, energy shortage, and other issues are becoming more and more prominent, and calls for energy conservation, emission reduction, strengthening corporate social responsibility, and reducing the impact of economic development on the environment and society are growing. Therefore, companies must rethink their strategies and adapt their supply chains. Based on limited resources, enterprise machines have traditionally acted as a tool or a communication tool for a person. Yet, at the same time as the economy develops, the direct interaction between human and machine gradually emerges, and the economic development of an enterprise is bound to contradict environmental protection and social responsibility. Therefore, for enterprises, in different periods, different priority strategies will be adopted for the three dimensions of economy, environment, and society. The results showed that the economic benefit has increased by about 30% or more, and the ecological pollution has been reduced by about 40% on the original basis. Under the action of a sustainable supply chain, consumer satisfaction tends to be full and can be maintained at about 97%. In this context, the comparative analysis of the strategic optimization of enterprises in the supply chain is the focus of this thesis.
Study on Strength Enhancement Factors of Cement‐Stabilized Recycled Aggregate
Authors: Su Congcong , Li Lihui
Published: September 2022

With the rapid development and urbanization, huge amounts of construction and demolition (C & D) waste are produced. In order to protect the environment and conserve natural resources, promoting renewable materials, with C & D waste as raw materials, is imperative. However, the poor mechanical properties of recycled aggregate hinder its applicability in projects. In this study, two kinds of recycled aggregates, that is, concrete and brick slag, were strengthened with polyvinyl alcohol (PVA) solution, and the optimal strengthening time and soaking concentration were determined. Recycled mixed aggregate and brick slag were designed with two kinds of graded recycled aggregate. Recycled cement‐stabilized crushed stone specimens were prepared for a 7‐day unconfined compression and freeze‐thaw cycle test. The results showed that the recycled aggregate strength was improved to a certain extent, while the improvement of brick slag aggregate was more pronounced. The recycled mixture with less cement‐stabilized brick slag can be used for the base course of heavy traffic secondary highways before strengthening. Cement‐stabilized unreinforced brick slag has shown low strength, so it is not suitable to be used as a base on heavy traffic roads. The strengthened cement‐stabilized recycled mixture and cement‐stabilized brick slag could meet the requirements of heavy traffic class I and class II highways, respectively. When the cement grade, dosage, and grading type were kept the same, the strength of cement‐stabilized crushed stone prepared with larger aggregates was slightly lower. After the freeze‐thaw cyclic test, the strength loss of the recycled stable gravel was low, and its durability did not significantly improve after the reinforcement of recycled aggregate.
Survival and Causes of Death among Patients with Intrahepatic Cholangiocarcinoma in the United States from 2000 to 2018
Authors: Elgenidy Anas , Afifi Ahmed M. , Jalal Prasun K.
Published: September 2022

Background:

Intrahepatic cholangiocarcinoma (iCCA) has shown a substantial increase in mortality globally. On the contrary, perihilar cholangiocarcinoma and distal cholangiocarcinoma have been decreasing. We aim to evaluate the causes of death after iCCA diagnosis.

Methods:

We studied 8,962 patients with iCCA diagnosed between 2000 and 2018 in the United States. The standardized mortality ratio for each cause of death was calculated. We used R software version 3.5 to perform Kaplan–Meier survival tests and covariate-adjusted Cox models.

Results:

Of the 8,962 patients diagnosed with iCCA, 7,335 (81.8%) died during the follow-up period with a mean age of death of 67.88 years. The highest number of deaths (4,786; 65.2%) occurred within the first year following iCCA diagnosis. 4,832 (66%) were from iCCA, 2,063 (28%) were from other cancers, and 440 (6%) were from non-cancer causes mainly cardiovascular disease. The overall mean survival after 1 year of diagnosis was 40.8% (39.8–41.9); however, the overall mean survival was 9.8% (9–10.5) after 5 years of diagnosis. The multivariable analysis showed that age, sex, stage, and management of iCCA have a statistically significant impact on survival.

Conclusions:

Following iCCA diagnosis, about 34% died from non-iCCA causes. The most common non-iCCA cancer cause was liver cancer, and cardiovascular disease represents a substantial percentage of non-cancer deaths. Our findings provide insights into how iCCA survivors should be followed up regarding future risks.

Impact:

The management and follow-up should be tailored to the needs of each patient with iCCA.
Fatores que influenciam a via de parto no Brasil
Authors: Souza Érika de Lima , Carvalho Ana Luíza de Castro , Pereira Bianca de Fátima , Souza Bruna Gomes de , Souza Giovanna Rissato de , Ardisson Giulia Machado Caldeira , Almeida Maria José Guedes Gondim
Published: September 2022

Introdução: A prevalência de cesarianas cresceu no Brasil. Gestação e parto são influenciados por aspectos culturais e econômicos da sociedade em que a gestante está inserida. Objetivo: Analisar fatores que influenciam a escolha da via de parto pela gestante. Métodos: Trata-se de revisão narrativa da literatura incluindo artigos publicados entre 2009 e 2020. Foram feitas buscas nas bases de dados Pubmed, LILACS e SciELO, com descritores “Bioética”, “Cesárea”, “Comportamento de escolha”, “Decisão”, “Direitos da mulher”, “Gravidez”, “Parto”, “Parto normal”, “Sistema único de saúde”. Resultados: Foram encontradas taxas de cesariana no setor privado maiores do que no público. Menor idade materna e escolaridade, raça negra, residência em meio rural e nas regiões Norte e Nordeste foram associados a menor prevalência de cesariana. Obesidade materna, cesariana prévia, intercorrências na gravidez, apresentação fetal não cefálica, macrossomia estiveram mais relacionados a cesariana. Dor, previsibilidade, relação da mãe com o recém-nascido, alta hospitalar, vida sexual e retorno às atividades foram relacionados a escolha do parto vaginal. Discussão: A disparidade de cesarianas no setor público e privado sugere o impacto de aspectos financeiros na escolha. Variáveis socioeconômicas são importantes nessa decisão. Conclusões: A escolha da via de parto é influenciada por vários fatores.
Higienização das mãos em unidades de terapia intensiva neonatal, pediátrica e adulto
Authors: Grejo Carolina Serapião , Gambero Michell Lansoni , Marini Leonardo Abdala , Bueno Aléxis Cândido Rodrigues , Silva Daniel Augusto da , Roncon Camila Marroni , Capellini Verusca Kelly , Chadi Paula Fernandes
Published: September 2022

Objetivo: Avaliar a efetividade de um programa educativo multimodal de higienização das mãos para profissionais da saúde de UTIs Neonatal, Pediátrica e Adulto. Método: Trata-se de uma pesquisa quasi-experimental, do tipo série temporal interrompida com um grupo e, portanto, esse foi avaliado antes e após a intervenção. A coleta de dados foi realizada em três períodos: (1) período pré-intervenção, realizada em 2017, observada a adesão à higienização das mãos pelos profissionais de saúde e identificado o consumo de álcool gel; (2) período de intervenção, realizada durante o ano de 2018, no qual foi executado o programa educativo multimodal; (3) período pós-intervenção, no qual foi realizada nova investigação utilizando a mesma metodologia empregada no primeiro período desta pesquisa. Resultados: Foram observadas 640 oportunidades e 327 ações, resultando assim em uma adesão global de 51,09%. O consumo de álcool em gel em 2018 obteve uma média de 27,01 mL/paciente-dia dentro das unidades e no ano de 2017 foi de 43,13 mL/paciente-dia no mesmo período. Conclusão: Apesar do período de intervenção ter ajudado os profissionais a esclarecerem dúvidas, esse ainda se mostrou não ser suficiente para manter os índices encontrados no período pré-intervenção. Pode-se sugerir que medidas educativas que promovam o aumento da adesão à higienização das mãos sejam rotineiramente realizadas.
Alchemical Waters Run Deep
Authors: Raggetti Lucia
Published: September 2022

In the course of the 9th and 10th centuries, the Arabo-Islamic world acquired a massive amount of knowledge from the antique and late antique traditions. In order to reconstruct the historical circumstances in which this transfer of knowledge took place, we are often forced to rely on the narratives that frequently accompany technical texts. The frame tale attached to The Treasure of Alexander (Ḏaḫīrat al-Iskandar) is a complex narrative that glues together an anthology of technical texts in ten chapters. Its alchemical section contains, among other things, instructions for preparing four different ‘sharp waters’, characterized by an increasing degree of intensity. Such ‘waters’—possibly acid and corrosive substances—were supposed to be used in the treatment and dyeing of different minerals and metals. This paper offers a critical edition and English translation of the passages dealing with the four ‘waters’ and their role in different alchemical procedures in The Treasure of Alexander. Special attention is paid to those textual clues that may link the contents of The Treasure to the Graeco-Egyptian alchemical tradition of ‘divine water’.
Hypera kayali sp. nov. (Coleoptera: Curculionidae, Hyperini) from Syria, with bionomic data
Authors: SKUHROVEC JIŘÍ
Published: September 2022

Hypera (Dapalinus) kayali sp. nov. from Syria is described and illustrated. An illustrated key to the species of the subgenus Dapalinus Capiomont, 1868 is given. The species most similar externally to H. kayali is H. striata (Boheman, 1834), whose elytral intervals 2, 4 and 6 are dark for their entire length and the remaining elytral intervals reddish or pale. Hypera kayali has a characteristic coloration with the elytra reddish brown interspersed with dark areas on the basal two third of interval 1, the apical quarter of interval 2, the basal third of interval 3, the apical half of interval 4, a short apical part of interval 5 and the whole of interval 6. Bionomic data are provided, including the larval host plant, Vicia palaestina Boiss. (Fabaceae). Male and female genitalia of H. contaminata (Herbst 1795), H. dapalis (Boheman, 1842), H. subvittata (Capiomont, 1867), and H. striata are illustrated and compared with H. kayali. A summary of the distribution of the members of the subgenus Dapalinus is given.
Two unusual species of Polypedilum Kieffer (Diptera: Chironomidae) from Oriental China
Authors: ZHANG RUILEI L. , WANG XINHUA , SÆTHER OLE A.
Published: September 2022

Polypedilum (Cerobregma) paucisetum sp. n. and P. (Tripodura) nudiprostatum sp. n., with peculiar superior volsellae are described as male imagines from Oriental China. P. (C.) paucisetum has an Uresipedilum-like superior volsella. The superior volsella of P. (T.) nudiprostatum is slender and non-clavate with 11–13 apical setae. A phylogenetic analysis places P. (C.) paucisetum as the sister species of the remaining members of the subgenus. P. (T.) nudiprostatum apparently belongs to the pullum group of Tripodura.
A new species of lizard genus Gymnodactylus Spix, 1825 (Squamata: Gekkota: Phyllodactylidae) from Serra do Sincorá, northeastern Brazil, and the status of G. carvalhoi Vanzolini, 2005
Authors: CASSIMIRO JOSé , RODRIGUES MIGUEL T.
Published: September 2022

A new species of gekkonid lizard genus Gymnodactylus Spix, 1825 is described on the basis of material collected in the “campos rupestres” (open rocky communities) of Mucugê municipality, northeastern Brazil. G. vanzolinii sp. nov. differs from its congeners in the number of transverse and longitudinal rows of dorsal tubercles and color pattern. It is thought to be closer to G. guttulatus which also occurs and is restricted to the rocky communities from highland open areas in the Espinhaço mountain range. The discovery leads to a reevaluation of the taxonomic status of G. carvalhoi Vanzolini, 2005, which is here considered a synonym of G. amarali Barbour, 1925.
A new genus of Stygninae from a relictual rainforest in Ceará, northeastern Brazil (Opiliones, Laniatores, Stygnidae)
Authors: KURY ADRIANO B.
Published: September 2022

Ricstygnus quineti gen. nov. sp. nov. (Stygninae) is described from a "brejo de altitude" in Ceará state, northeastern Brazil, this being the first record of the family Stygnidae from the state. The new genus is characterized by the paired scutal armature in the form of acuminate tubercles increasing in size from area III to posterior margin of scutum, free tergite I with a pair of robust acuminate spiniform apophyses that are by far the stoutest of those on the dorsum, subtrapezoid scutum widest posteriorly with long carapace, and several unique genital features, as for example the presence of dorso-basal hollow in ventral plate containing a multiply folded haematodocha.
Metformin-Loaded Alginate Nanoparticles Inhibits Mouse Atherosclerosis by Regulating Macrophage Differentiation by Activating the Adenosine Monophosphate-Activated Protein Kinase/Signal Transducer and Activator of Transcription 3 Pathway
Authors: Yang Yuchun , Zhou Xiaohuan , Wang Jiao , Zhang Lei , Hailati Juledezi , Wulasihan Muhuyati , Liu Zhiqiang
Published: September 2022

Objective: By modulating macrophage phenotype and the adenylate-activated protein kinase/signal transducer and activator of transcription 3 (STAT3) signaling pathway, metformin-loaded alginate nanoparticles may prevent atherosclerosis (As). Methods: Flow cytometry was
used to determine the percentage of macrophages with distinct phenotypes (CD86 and CD206). Analysis of protein expression levels of iNOS, arginase 1, AMPK, pAMPK, STAT3 and phosphorylated STAT3 were performed by Western Blot. To confirm the in vitro findings, ApoE−/− mice
were employed. Results: AMPK activity and the fraction of M2 macrophages dramatically increased in cells treated with Met, but STAT3 activity was considerably reduced. It was also shown that the Met group had much shorter aortas and lower levels of lipid deposition than that of the
control group; also, the fraction of M1 macrophages in the lipid plaques of the animals treated with Met was dramatically reduced by using immunofluorescence labeling. There was a considerable increase in AMPK activity in the Met group, but STAT3 activity was dramatically lowered. Conclusion:
According to the results of this study, STAT3 activity is regulated by activation of AMPK and macrophage development in plaques is prevented in mice by metformin-loaded alginate nanoparticles.
Application of Novel Nano-Hydroxyapatite in Proliferation and Apoptosis of Human Osteosarcoma Cells
Authors: Wang Chao , Shen Zhaoliang , Wang Haifan , Zhao Qiuyan , Cui Guofeng , Bai Chuanyi
Published: September 2022

In this study, the purpose is to examine the impact of nano-hydroxyapatite (Nano-HAP) on human osteosarcoma cell (U2OS) growth and apoptosis (cell death). For reaching this goal an apoptosis kit was employed to determine the influence of Nano-HAP on apoptosis in human osteosarcoma cells
U2OS, which were treated with different doses of Nano-HAP; FDA staining was used to elucidate the effect of Nano-HAP on cell adhesion. U2OS adhesion was not affected by Nano-HAP at different concentrations, however the production of U2OS was dramatically reduced. U2OS osteosarcoma cell growth
was considerably inhibited at the doses of 50 g/ml and 800 g/ml, respectively. In conclusion, osteosarcoma cell growth and apoptosis are greatly inhibited by nano-HAP, although there is no clear linear link between nanoparticle concentration and the impact.
Quality control of total carbon dioxide (CO2) in serum or plasma using the Abbott Architect is affected by environmental pCO2 concentrations
Authors: Cuykx Matthias , Develter Mieke , Verschaeren Jan , Leenaerts Dorien , Willemse Johan , Boes Juul
Published: September 2022

Introduction: Total CO2, or bicarbonate, is a parameter in clinical chemistry often applied to assess the metabolic status of a patient. This article discusses the observations and interventions during an episode of assay instability on an Abbott Architect routine chemistry analyser.

Results: The Levey–Jennings plot of QC data showed a circadian pattern, having an overestimation of total CO2 during periods of high personnel attendance. A qualitative analysis revealed a correlation between atmospheric CO2 in the lab environment and the acquired total CO2 value in a quality control sample. Assessment of total CO2 is hence influenced by the equilibrium between atmospheric CO2, dissolved CO2 and bicarbonate. The effect is more pronounced on samples containing low concentrations of total CO2. The bias related to environmental CO2 is also noticeable on patient samples, patient means between periods with high and low atmospheric CO2 levels differed by 2 mmol/L.

Discussion: Passive ventilation of the laboratory environment is proven insufficient during weather conditions in which the lab is not exposed to wind. Consistent reduction of atmospheric CO2 could only be guaranteed with an active ventilation infrastructure. Systematic closure of analyser lids also reduced analyser variance.

Conclusion: The lab environment is an important source of parameter variance. Both environmental and infrastructural aspects must be considered when assessing the potential cause of the instability.
Religious coping and young adult’s mental well-being during Covid-19: Testing a double moderated mediation model
Authors: Fatima Shameem , Arshad Mahnoor , Mushtaq Mamoona
Published: September 2022

The literature describes religious coping as an important predictor of mental well-being. Present study is aimed at extending this knowledge by assessing whether specific religious coping regulates specific cognitive emotional responses to improve well-being during Covid pandemic, an extreme international event with significant impacts on individuals and communities. A sample of young adults responded to self-report measures of negative and positive religious coping, positive reappraisal, self-blaming, and mental well-being. Results revealed that positive religious coping was a positive predictor of mental well-being and positive reappraisal mediated this positive link. Also, gender and physical health status significantly interacted with positive reappraisal to predict mental well-being in these mediational associations. More specifically, indirect effects of positive reappraisal were positive and significant for men and for participants with better physical health compared with women and those with poor physical health. However, negative religious coping was not a significant correlate of mental well-being but a positive correlate of self-blame. Results suggest that positive religious coping facilitates positive regulation of emotions for improved mental well-being in young adults and particularly young men.
A Scoping Review of Psychological Assessment in Mission and Ministry Candidates
Authors: Thompson Katherine N. , Kimber Thomas , Williams David , Matthews Delle , Grossmann Mathis , Brautigam Michael
Published: September 2022

Missionary attrition together with the problem of institutional child sexual abuse in the Church has highlighted the importance of a standardized psychological assessment process for mission and ministry candidates. This scoping review aimed to examine peer-reviewed publications, from 2001 to 2021, which focused on the psychological assessment of ministry and cross-cultural mission candidates, to find knowledge gaps that exist. Using scoping review guidelines, 6,739 references were identified and 2,476 duplicates were removed. A further 4,254 references were excluded because they did not meet screening criteria. A total of nine high-quality articles remained, together with five articles that were added based on the bibliography of these references. This scoping review found the few papers published either focused on the use of personality tests or made recommendations about how these assessments should be conducted. The studies reported that candidates for ministry and mission in US samples have normative personality profiles regardless of age or ethnicity. Other papers reviewed knowledge and opinion and highlighted the need for screening for psychosexual development and to prevent attrition in mission and ministry roles. The overall dearth of publications suggested a need for more international research into how to standardize and utilize psychological assessments.
Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru
Authors: Eltaweel Ahmad , Kuchai Noorullah , Albadra Dima , Coley David , Hart Jason , Acevedo-De-los-Ríos Alejandra , Rondinel-Oviedo Daniel R
Published: September 2022

Displaced populations are housed in various constructions, including lightweight predesigned structures. Theoretically, self-built heavyweight structures should ensure better temperatures and be closer to cultural norms. To examine this directly for the first time, lightweight pre-designed solutions are compared with high-mass self-built alternatives in Afghanistan and Peru, via monitoring, dynamic simulation, occupant surveys, the Shelter Assessment Matrix (SAM) and ShelTherm. Lightweight solutions increase peak summer temperatures, but only by 2°C, but reduce minimum temperatures by up to 5°C. Simulations only provided a qualitatively similar time series to the monitoring, because identical homes showed a large variance in temperatures. This questions the benefit of simulation compared to approaches which concentrate on whether shelters exacerbate or ameliorate external temperatures. In addition, a dwelling provides more than comfort, it supports family life, which is best addressed by tools like SAM, not thermal simulation. Hence it might be ideal to recommend high-mass self-build if possible, and to focus modelling efforts on qualitative aspects of simulation time-series, such as whether the building suppresses or exacerbates external conditions, and equally on psycho-cultural aspects. The term narrative modelling is introduced to describe this new approach which will be of direct benefit to the humanitarian community.

Building simulation engineers have much to offer the humanitarian shelter sector, however they are not often brought into play in a disaster. Hence, we suggest a practical role they can take is in examining strategies before disasters and in creating knowledge or analysis methods that aid agency staff can apply on the ground. Here we showcase this approach. It is clear that although dynamic thermal simulation is highly useful, psycho-social aspects are equally important, thus engineers are likely to need to use tools that consider such aspects in order to maximize the usefulness of their conclusions.